{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# TensorFlow2.0教程-词嵌入"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2.0.0-alpha0\n"
     ]
    }
   ],
   "source": [
    "from __future__ import absolute_import, division, print_function\n",
    "import tensorflow as tf\n",
    "import tensorflow.keras as keras\n",
    "import tensorflow.keras.layers as layers\n",
    "print(tf.__version__)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1.载入数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 14, 22, 16, 43, 530, 973, 1622, 1385, 65, 458, 4468, 66, 3941, 4, 173, 36, 256, 5, 25, 100, 43, 838, 112, 50, 670, 2, 9, 35, 480, 284, 5, 150, 4, 172, 112, 167, 2, 336, 385, 39, 4, 172, 4536, 1111, 17, 546, 38, 13, 447, 4, 192, 50, 16, 6, 147, 2025, 19, 14, 22, 4, 1920, 4613, 469, 4, 22, 71, 87, 12, 16, 43, 530, 38, 76, 15, 13, 1247, 4, 22, 17, 515, 17, 12, 16, 626, 18, 2, 5, 62, 386, 12, 8, 316, 8, 106, 5, 4, 2223, 5244, 16, 480, 66, 3785, 33, 4, 130, 12, 16, 38, 619, 5, 25, 124, 51, 36, 135, 48, 25, 1415, 33, 6, 22, 12, 215, 28, 77, 52, 5, 14, 407, 16, 82, 2, 8, 4, 107, 117, 5952, 15, 256, 4, 2, 7, 3766, 5, 723, 36, 71, 43, 530, 476, 26, 400, 317, 46, 7, 4, 2, 1029, 13, 104, 88, 4, 381, 15, 297, 98, 32, 2071, 56, 26, 141, 6, 194, 7486, 18, 4, 226, 22, 21, 134, 476, 26, 480, 5, 144, 30, 5535, 18, 51, 36, 28, 224, 92, 25, 104, 4, 226, 65, 16, 38, 1334, 88, 12, 16, 283, 5, 16, 4472, 113, 103, 32, 15, 16, 5345, 19, 178, 32]\n",
      "[1, 194, 1153, 194, 8255, 78, 228, 5, 6, 1463, 4369, 5012, 134, 26, 4, 715, 8, 118, 1634, 14, 394, 20, 13, 119, 954, 189, 102, 5, 207, 110, 3103, 21, 14, 69, 188, 8, 30, 23, 7, 4, 249, 126, 93, 4, 114, 9, 2300, 1523, 5, 647, 4, 116, 9, 35, 8163, 4, 229, 9, 340, 1322, 4, 118, 9, 4, 130, 4901, 19, 4, 1002, 5, 89, 29, 952, 46, 37, 4, 455, 9, 45, 43, 38, 1543, 1905, 398, 4, 1649, 26, 6853, 5, 163, 11, 3215, 2, 4, 1153, 9, 194, 775, 7, 8255, 2, 349, 2637, 148, 605, 2, 8003, 15, 123, 125, 68, 2, 6853, 15, 349, 165, 4362, 98, 5, 4, 228, 9, 43, 2, 1157, 15, 299, 120, 5, 120, 174, 11, 220, 175, 136, 50, 9, 4373, 228, 8255, 5, 2, 656, 245, 2350, 5, 4, 9837, 131, 152, 491, 18, 2, 32, 7464, 1212, 14, 9, 6, 371, 78, 22, 625, 64, 1382, 9, 8, 168, 145, 23, 4, 1690, 15, 16, 4, 1355, 5, 28, 6, 52, 154, 462, 33, 89, 78, 285, 16, 145, 95]\n"
     ]
    }
   ],
   "source": [
    "vocab_size = 10000\n",
    "(train_x, train_y), (test_x, text_y) = keras.datasets.imdb.load_data(num_words=vocab_size)\n",
    "print(train_x[0])\n",
    "print(train_x[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<START> this film was just brilliant casting location scenery story direction everyone's really suited the part they played and you could just imagine being there robert <UNK> is an amazing actor and now the same being director <UNK> father came from the same scottish island as myself so i loved the fact there was a real connection with this film the witty remarks throughout the film were great it was just brilliant so much that i bought the film as soon as it was released for <UNK> and would recommend it to everyone to watch and the fly fishing was amazing really cried at the end it was so sad and you know what they say if you cry at a film it must have been good and this definitely was also <UNK> to the two little boy's that played the <UNK> of norman and paul they were just brilliant children are often left out of the <UNK> list i think because the stars that play them all grown up are such a big profile for the whole film but these children are amazing and should be praised for what they have done don't you think the whole story was so lovely because it was true and was someone's life after all that was shared with us all\n"
     ]
    }
   ],
   "source": [
    "word_index = keras.datasets.imdb.get_word_index()\n",
    "word_index = {k:(v+3) for k,v in word_index.items()}\n",
    "word_index['<PAD>'] = 0\n",
    "word_index['<START>'] = 1\n",
    "word_index['<UNK>'] = 2\n",
    "word_index['<UNUSED>'] = 3\n",
    "reverse_word_index = {v:k for k, v in word_index.items()}\n",
    "def decode_review(text):\n",
    "    return ' '.join([reverse_word_index.get(i, '?') for i in text])\n",
    "print(decode_review(train_x[0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "maxlen = 500\n",
    "train_x = keras.preprocessing.sequence.pad_sequences(train_x,value=word_index['<PAD>'],\n",
    "                                                    padding='post', maxlen=maxlen)\n",
    "test_x = keras.preprocessing.sequence.pad_sequences(test_x,value=word_index['<PAD>'],\n",
    "                                                    padding='post', maxlen=maxlen)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.构建模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "embedding (Embedding)        (None, 500, 16)           160000    \n",
      "_________________________________________________________________\n",
      "global_average_pooling1d (Gl (None, 16)                0         \n",
      "_________________________________________________________________\n",
      "dense (Dense)                (None, 16)                272       \n",
      "_________________________________________________________________\n",
      "dense_1 (Dense)              (None, 1)                 17        \n",
      "=================================================================\n",
      "Total params: 160,289\n",
      "Trainable params: 160,289\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "embedding_dim = 16\n",
    "model = keras.Sequential([\n",
    "    layers.Embedding(vocab_size, embedding_dim, input_length=maxlen),\n",
    "    layers.GlobalAveragePooling1D(),\n",
    "    layers.Dense(16, activation='relu'),\n",
    "    layers.Dense(1, activation='sigmoid')\n",
    "    \n",
    "])\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 22500 samples, validate on 2500 samples\n",
      "Epoch 1/30\n",
      "22500/22500 [==============================] - 2s 78us/sample - loss: 0.3730 - accuracy: 0.8780 - val_loss: 0.3887 - val_accuracy: 0.8592\n",
      "Epoch 2/30\n",
      "22500/22500 [==============================] - 2s 77us/sample - loss: 0.3496 - accuracy: 0.8828 - val_loss: 0.3711 - val_accuracy: 0.8660\n",
      "Epoch 3/30\n",
      "22500/22500 [==============================] - 2s 69us/sample - loss: 0.3288 - accuracy: 0.8884 - val_loss: 0.3561 - val_accuracy: 0.8712\n",
      "Epoch 4/30\n",
      "22500/22500 [==============================] - 2s 71us/sample - loss: 0.3110 - accuracy: 0.8938 - val_loss: 0.3448 - val_accuracy: 0.8728\n",
      "Epoch 5/30\n",
      "22500/22500 [==============================] - 2s 67us/sample - loss: 0.2951 - accuracy: 0.8978 - val_loss: 0.3346 - val_accuracy: 0.8740\n",
      "Epoch 6/30\n",
      "22500/22500 [==============================] - 1s 66us/sample - loss: 0.2808 - accuracy: 0.9026 - val_loss: 0.3260 - val_accuracy: 0.8768\n",
      "Epoch 7/30\n",
      "22500/22500 [==============================] - 2s 69us/sample - loss: 0.2686 - accuracy: 0.9071 - val_loss: 0.3218 - val_accuracy: 0.8764\n",
      "Epoch 8/30\n",
      "22500/22500 [==============================] - 2s 70us/sample - loss: 0.2574 - accuracy: 0.9098 - val_loss: 0.3138 - val_accuracy: 0.8816\n",
      "Epoch 9/30\n",
      "22500/22500 [==============================] - 2s 69us/sample - loss: 0.2464 - accuracy: 0.9143 - val_loss: 0.3090 - val_accuracy: 0.8828\n",
      "Epoch 10/30\n",
      "22500/22500 [==============================] - 2s 70us/sample - loss: 0.2370 - accuracy: 0.9172 - val_loss: 0.3047 - val_accuracy: 0.8828\n",
      "Epoch 11/30\n",
      "22500/22500 [==============================] - 2s 71us/sample - loss: 0.2283 - accuracy: 0.9210 - val_loss: 0.3009 - val_accuracy: 0.8836\n",
      "Epoch 12/30\n",
      "22500/22500 [==============================] - 1s 66us/sample - loss: 0.2203 - accuracy: 0.9233 - val_loss: 0.2985 - val_accuracy: 0.8844\n",
      "Epoch 13/30\n",
      "22500/22500 [==============================] - 2s 67us/sample - loss: 0.2123 - accuracy: 0.9264 - val_loss: 0.2959 - val_accuracy: 0.8852\n",
      "Epoch 14/30\n",
      "22500/22500 [==============================] - 1s 66us/sample - loss: 0.2054 - accuracy: 0.9281 - val_loss: 0.2947 - val_accuracy: 0.8836\n",
      "Epoch 15/30\n",
      "22500/22500 [==============================] - 1s 66us/sample - loss: 0.1989 - accuracy: 0.9302 - val_loss: 0.2927 - val_accuracy: 0.8876\n",
      "Epoch 16/30\n",
      "22500/22500 [==============================] - 1s 66us/sample - loss: 0.1924 - accuracy: 0.9331 - val_loss: 0.2937 - val_accuracy: 0.8872\n",
      "Epoch 17/30\n",
      "22500/22500 [==============================] - 1s 66us/sample - loss: 0.1865 - accuracy: 0.9348 - val_loss: 0.2909 - val_accuracy: 0.8880\n",
      "Epoch 18/30\n",
      "22500/22500 [==============================] - 1s 66us/sample - loss: 0.1804 - accuracy: 0.9371 - val_loss: 0.2909 - val_accuracy: 0.8908\n",
      "Epoch 19/30\n",
      "22500/22500 [==============================] - 1s 66us/sample - loss: 0.1753 - accuracy: 0.9404 - val_loss: 0.2916 - val_accuracy: 0.8912\n",
      "Epoch 20/30\n",
      "22500/22500 [==============================] - 2s 68us/sample - loss: 0.1705 - accuracy: 0.9422 - val_loss: 0.2951 - val_accuracy: 0.8900\n",
      "Epoch 21/30\n",
      "22500/22500 [==============================] - 2s 73us/sample - loss: 0.1655 - accuracy: 0.9443 - val_loss: 0.2910 - val_accuracy: 0.8900\n",
      "Epoch 22/30\n",
      "22500/22500 [==============================] - 2s 68us/sample - loss: 0.1605 - accuracy: 0.9470 - val_loss: 0.2923 - val_accuracy: 0.8916\n",
      "Epoch 23/30\n",
      "22500/22500 [==============================] - 2s 75us/sample - loss: 0.1560 - accuracy: 0.9486 - val_loss: 0.2940 - val_accuracy: 0.8900\n",
      "Epoch 24/30\n",
      "22500/22500 [==============================] - 2s 69us/sample - loss: 0.1516 - accuracy: 0.9502 - val_loss: 0.2949 - val_accuracy: 0.8892\n",
      "Epoch 25/30\n",
      "22500/22500 [==============================] - 1s 66us/sample - loss: 0.1473 - accuracy: 0.9517 - val_loss: 0.2984 - val_accuracy: 0.8928\n",
      "Epoch 26/30\n",
      "22500/22500 [==============================] - 2s 69us/sample - loss: 0.1436 - accuracy: 0.9524 - val_loss: 0.2979 - val_accuracy: 0.8900\n",
      "Epoch 27/30\n",
      "22500/22500 [==============================] - 1s 67us/sample - loss: 0.1400 - accuracy: 0.9540 - val_loss: 0.2995 - val_accuracy: 0.8912\n",
      "Epoch 28/30\n",
      "22500/22500 [==============================] - 1s 65us/sample - loss: 0.1368 - accuracy: 0.9548 - val_loss: 0.3025 - val_accuracy: 0.8912\n",
      "Epoch 29/30\n",
      "22500/22500 [==============================] - 1s 66us/sample - loss: 0.1328 - accuracy: 0.9570 - val_loss: 0.3042 - val_accuracy: 0.8920\n",
      "Epoch 30/30\n",
      "22500/22500 [==============================] - 1s 66us/sample - loss: 0.1290 - accuracy: 0.9596 - val_loss: 0.3055 - val_accuracy: 0.8948\n"
     ]
    }
   ],
   "source": [
    "model.compile(optimizer=keras.optimizers.Adam(),\n",
    "             loss=keras.losses.BinaryCrossentropy(),\n",
    "             metrics=['accuracy'])\n",
    "history = model.fit(train_x, train_y, epochs=30, batch_size=512, validation_split=0.1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1152x648 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "acc = history.history['accuracy']\n",
    "val_acc = history.history['val_accuracy']\n",
    "\n",
    "epochs = range(1, len(acc) + 1)\n",
    "\n",
    "plt.plot(epochs, acc, 'bo', label='Training acc')\n",
    "plt.plot(epochs, val_acc, 'b', label='Validation acc')\n",
    "plt.title('Training and validation accuracy')\n",
    "plt.xlabel('Epochs')\n",
    "plt.ylabel('Accuracy')\n",
    "plt.legend(loc='lower right')\n",
    "plt.figure(figsize=(16,9))\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(10000, 16)\n"
     ]
    }
   ],
   "source": [
    "e = model.layers[0]\n",
    "weights = e.get_weights()[0]\n",
    "print(weights.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "out_v = open('vecs.tsv', 'w')\n",
    "out_m = open('meta.tsv', 'w')\n",
    "for word_num in range(vocab_size):\n",
    "    word = reverse_word_index[word_num]\n",
    "    embeddings = weights[word_num]\n",
    "    out_m.write(word + \"\\n\")\n",
    "    out_v.write('\\t'.join([str(x) for x in embeddings]) + \"\\n\")\n",
    "out_v.close()\n",
    "out_m.close()"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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E4qahikQ+/ktrSh9Nz9A4Onsazpj23ycAIwIB2whgdcw2tGjYKQLQQE6RPqKffz9dSEQ335Z5RC4eQAAEtAi89Hwxz77uxnSeRsINBLA65oZZgA16BET3DyunztGrj3dWE/j304VMBhERT1jdSeT2NB1CkauhBAg4TkCUQUSkeHTcHHSoJACfkJJI0J7vuyePD3nqYz152lUJbESPZToeGBua4inTrZ/ifz9d6IBn6Pa7sjQXyNRkcBe9mglyQAAEdAhACenA8f8rUQYR0X335LlZDPl/PmwYoSiDiOiBsXl2iCEbDNdoMiBOoDdeL/3blWka40cW0btvlxPRn//SCTBAwEICWB2zEKbHmlLIIGa9ZqbHBgZzDxNQyCCWrZl5uAb+jieBN14vfeP1UiLiiXha476+mQyiw3rIfQaGtQiBQWHRuOMFlJA75gFWgIBnCTiwNOZZNjDcMgJcBrEWFY+a3bz+qiQrXfLFxdB1N6bztEtsgxlYHcNnAASCRWDTxp0fvFfBxvynSzqaGDyTPtg7ZgIdqjhDgGug118tvfIatyw1QgA5M/smeoFPyAQ0VAEBrxLYtHGnaDqXRGKmwfTNt2W60xtUT7h3zOAceqmYIjZI8SiOhMsglql4FEsiDQKMAJRQcD8Jrg2ODu6UWD1yzeDoS/4S9p4Kq/tHe9EREAOlxXR0rfi3NFc/POHfsWJkjhLA6pijuN3fGeSR++coKgunTO8phkgrZJC51bGoDEDhqAhAAOnjggbS54O35gjgtg1z3FALBLxKQFwR86US+ied8yh94dXpgd1WEBBXxNwTJ2TFyNCGLQSghGzBGuRGJz6wnogmTskNMgSMPY4E7qFzHvOdEpr1jnSOzphLcY5OHD9Z6Nq3BKCEfDu1zg+MaSCxX+ghkQbSzhDwmRJiGoiji1EMibejuDPgnY8UCRBwjAAiph1D7fOO1DLI5wPG8EAgHgQUwigqE0QZFN8746IyG4VBwG4CUEJ2Ew50+5BHgZ5+DN4GAqZ9QgoZZINpaBIEvEoASsirMwe7QQAEgkDAtPRRwMFamAIIHkGAE4AS4iiQsJ4A4oSsZ4oWIxGoi1TAc++5GOIJS4YAbWQJRjTiAwJQQj6YRFcMAaLHFdMAI3xKYMylnWKXQaL0EdNxYfbR/1V+9H+VcekanYKAggD2jimA4DEmAmJgELRRTChR2SyBu+icJ3y3i94sDJfWEzXQhX/s4FIrYVZgCEAJBWaqMVAQCAaBu+ncx+nzYIzVk6MUZRAbAMSQJyfSR0ZjdcxHk4mhgAAIgAAIgAAIREkASihKYCgOAiDgbgL+i5h2N++orVN4gBSPUTeHCiAQMwEooZgRogEQAAEQAIFoCHD1wxPR1EZZELCYAO6itxgomgMBEAABEIhIABooIiIUcIwAlJBjqNERCIAACFhG4L578hRtTX2spyIHjyAAAkYIQAkZoYQyEQg8MmUzL3HvA914GgkQAAHHCNx3T14AxdCjj+SLhP95b7b4iDQIGCGAOCEjlFBGj4Aog4hI8ahXE+9AwAYC9Ta06bYm1Q4hay38bk7Vd3OqrG3TjtYUMsiOLtBmEAhACQVhlm0cI3SPjXDRNAjEgwDXQDwRDytM9gltZBJcsKtBCQV7/jF6EAABEBAIeFH9COa7KPnmzDIXWQNTdAkgTkgXD15GInDvA93gFooEKT7vn36ygHd8251ZPI0ECOgQOPW0FIghHT5GXnENxBKXX9HFSC2UiSMB+ITiCN+fXSNi2g3zKsogIlI8usFC+2yopwT7GndJywGMjNYkr46PVudoVkQmCIgE4BMSaSBthgCTPswzBBlkhiDqgED0BKY+1lMRN22VPDr1tJTozbGsxszXSonoiqvSDLYI6WMQFIrpEIAS0oGDV1EQgAaKApbNRQPlAbKZpaubt0r6uGeQTAYRUbR6yD1DgCVeJIDVMS/OGmwGAT0CiArSoxOnd198to19x6l/dOscATEwSEw7ZwF6ipIAfEJRAkNxEPACgdvuzBI9Q9BG7pm0Lz7bds557d1jDyyxgwAEkB1U7WsTSsg+tmgZBOJJILDqx4UnK37x2Tbxo2CTGHpgrHT/xpTpJu/cmP/TLiI64cTWoqlIg0AQCCTU17vw50YQyGOMIAACthC4jc57mj6zpWmzjSqUkOU+IaaBROui1UNMBvEW4qiHeKiQ8aBpbjYSIGCOAHxC5rihFgiAAAgYJXDOee0VYshoTQPl1DKIiB4YmxetGDLQlRNF4i6A3v7vFj7Ov/y1M08j4WMCUEI+nlwMDQRAwC0ELPcDuWVgDXbMeqec2zPm0k487bmEKIM8ZzwMNk0Ae8dMo0NFEAABEPAJAXE5TEybGJ6oikxUd1UVCCNXTYd9xsAnZB9btAwCIBAHAnVx6NMPXZoWQH6SPoqJxOqYAohfH+ET8uvMYlwgEFgC/r9tQ5xazXggzUyxFtKaBCB9NLH4PhM+Id9PceQBPvW4fFXnHXfjns7IuFACBEBAJDDm0k6iW8jTcUJEBDEkTm5A0thFH5CJDjtMLoNYCYihsKTwIt4EDF6zdQv94Vn6NN7Gon8QAAHPEMDqmGemyg5DFTKIiNQ5dvSLNkEgWgIKGURE6pxo20R5EAABECAiKCF8DEAABLxKQFMM4axYr04n7AaBOBFAnFCcwLu1W/esjr34XBGDdP1NGW6lBbtAAARAAAQ8TwA+Ic9PYSwDcI/uUYyCyyAiEtOKYngEARAAARBQEHh8ev7j0/MVmXjUIQCfkA6c+L+acP96bsSkh3N52sKEa8WQOMYXnyuCZ0gEgjQIgAAIaBLgGogl7h6brVkMmSIB+IREGu5KizKIiBSP7rIV1oBAPAhMfczkvevxMBZ9goDtBLgMsr0nf3UAn5BL51NT90y4f71NniGXUjhsFhxCh0kE928mesQQ6XAyCBHTwf2UODLyma+V8n7ifl8st4SInn9Wjq0UM5E2QgBKyAgllHGawPU3ZSA8yGnoXugvnPrxgu2w0YcEZr5W6gYxxDXQ4gUVRDRkeEcfsrZzSFBCdtL1QtvP/quQiG65PdNtxsIP5LYZ8Y49wbptwzvzYo2lk8ZvkKIFJudY01yUrYgOoSir2lWcyyC7OghAu4gTcuMkT5+6uVnzoxbP36IwzvKlMSaDiOjZfxXytKJTPIIACICAGwhMGr+BySAiEtNusM0lNowc1YWImGeIiBAubXBe4BMyCMq5YtOnbuadMTE05ITOPMfCBKSPhTDRFAiAACfwwXvSGs2fLrF9jWbS+A0mnEPff1dFRCNPTeEGG09ccVWa6BZyw9KYwviRo7rceAvOYFNQifAIn1AEQA6/FmXQyDPSR56RzgyY9HCu5Q4hh4eG7kDAGQKImHaGc7hemAwiIp4IVzKqfO4NiqqWujCTQUTEE+oy+jlc/fCEfnm730L3xE4YPqHYGdrbwsgz0sfe183ePtC6IwTEO908cYyTI1TQiZ8JfPBehQOeIeMETasfRRcu0UDcqhtvyeDRQhBGHIvxBJSQcVZ+K3nL7ZlYIHNsUkUZxG66hRiKFv69d+fxKo88jpOEOAwXJaz1A4kDmzA5J3a30MhTU6wSQ6JtbkhDAMUyC1BCsdCzvu7Y+7qJC2REZKtDiIshF+4dsx5u/FpUyKD4GeLVnkUNxMZw7915EEMunM4/XdLRPjGkHq+JICF1I97Nuf+fod8NHn4UvxuYn8mE+nqsqpvHZ1NNLoZslUE2GY9m1QQ0lRB8QmpQ4XLUSoiV1BRDN9L5z9PscE0h3wECXAzZsTQW3130DtAz2IUog1gViCGD6NTFoITUTJADAtYTUIshKCGDlMPJICKCEjLIEMV8RkAtg9gAIYbMTTT2jpnjhlogEB0Bhe5RPEbXFkrrEqjTfYuXdhD4+svtX3+53Y6W0SYIOEAAcUIOQEYXICARgPpx6nOAM6adIt3QD9dAX3+5/cyz2znaNzoDASsIwCdkBUW0AQIgYBsBvgS2d+9B9s264vm29YyGIxPgMihyUZQAAbcSgBJy68zALhAAgcMEHnm85969Bw8/kZjmmQFJ/O+r7f/7CutQAZntsMNEPFBYNKZeIGLaFDbHK/GDNAK+a9Rx8OjQLQRKSw8Q0WNTpds377kvJy2taTjLrqcLXqRPwr31dL6ogc44yy3rUKJbCKtjTn7AFHHTkEem4UMJmUbnXEUug1iXEEPOoUdPriHAlBA3R0cJXUcXvORHJSTKIMbBPWKIzwsSIOBFAlgdc/usKWQQu4TZ7UbDPhCwmoAofcS01f24tz2F7lE8utduWAYCrieAvWOunyIYCAIg0EAgmAIIkw8CIGA3ASghuwmjfRAAARCwhgD8QNZwRCsgcCQBrI4dyQNPIAACIAACIAACQSIAn5DbZ1t9AzMipt0+Z7AvrgRwk2Jc8R/R+YxXSvjz1f/oytNIgICrCMAn5Krp0DZGlD5iWrs0ckEg6ARwxrQrPgGiDHKFQTACBMIQgBIKA8Zl2RMm50yYnHN0k0ZTJ29ymWkwBwRAwDyBb7/Zzr7NN+GRmhBGHpmoIJqJ1THPzDrXQCxx3/ju7jf9peeLiei6G9PdbyosBAHnCXz7Tei06G+/2T7qdI3DEvk/fGaeJ/7ha5LE6pgmFmS6gQB8Qm6Yhcg2KH4aRq7gghJMBhERT7jAKJgAAl4ioP6Hr87x0nhgKwi4kgB8QrZMy0MTpDsB2NeDk3IOJ638e+rkTW7+7VChfl56vhieISunH22FJ4CI6fBsHH3DnEAzXimBN8hR7ugsegLwCUXPLFINUQYRkeIxUm28DxGY+Vop+w5lIQUCPiIgLoeJaR8NkSCD/DSbfh0LfEIWz6ym7nlowgbLPUOucgg9/WQh53jbnZk8HUti5mulvPrM10qvuCqNP9qR+PSTrX+4INWOltEmCOgQ8KsA0hkyXoGA2wjAJ+SKGZk0fgP/1jRIoXsUj5pVHMsUZRARsUfFWpji0THbDHb06SdbiejTT7ayhMFaKAYCdhNQ/0tX59htA9oHAd8TgE8o/lOsuGN10vgNmocGee4n4HU3pnti7xjUT/z/DcCC8ATuG9+dR0l77odA+GHhDQi4iACUkMWT8eCkHPUCmc7SmEIGWWxNvJtzuSso3njQPwgYIgABZAgTCoGAWQJYHTNLLnw9he5RPIavF3rjb3kUGqduSgwMEtO6lcy8RHiQGWourlNHOGNab3pmf7yVfesVwjsQCBKBhPp67DmN54SHEz2aC2TxNFS3bzFUyKqIad0OrX/J1sigiqwn63iL19CFr9JHjnfrjQ5nfyyFxPGv80djlwCHgURwCUAJxX/u1WLIWzIo/gRhAQgIBKCEBBjKJJSQkgieQYAIq2OxfgrUOibaFhW6R/EYbWsoDwIgAAIgAAIgYJwAfELGWSlLKjQQFIwSEJ7dR+DlF6Sb4K69IfJNcK+/GjrP6cpr7D3MyVpO8Anp8+RuISyN6YOy/O1771awNi/5c0cjjfOZIiJMlhFipstACZlEp5BBrBWIIZM0Uc0RAkwG8a509JAog1h5D4mhq+miGfQhHyYSIOAGAlwGMWMiiiFRBkEJ2T2DWB2zm7Cy/WkPb5728GZlLp5BwGYCChlkc29oHgRAAAQ8QwBKyNGp4hoIeshR7ugMBEDArQS+/nI7+3argfGxC8thTnKHEnKONpdBznWJnkDAFAHFWpji0VSTqOQNAgvm73LS0K+/3M67E9M80weJ92dVvD+rIiGBlizaFtVwuBjiiaiqo7BxAjhj2jirCCVNBAlNe3jzuPu7RWgXr0HACgLX3pAuLpDpBAmx3qB+rKDupTa4BmKJ4Se09pL1XrB1yLD2RHTxGEPh0mxA0EDOTCyUkEnOTPecc+q3rP4pp0fejGOyJ1QDAYsIRFQ/FvWDZujjDys5hdEXdeBpJIJG4P1Z8n6xoA3cW+PF6pj5+Xr0kfxTTk9n30T06CP50bYFh1C0xFAeBGPsHDoAACAASURBVCIScNup+aIqimh80AqceXY7PmQxzTO9nojKA2RwsC89X8wutzZYHsUiEoASiohIu0DsugcySJssckEABOJBQFwOE9N223Lm2e3Yt90duaH9GIWRqIEghiycUKyOWQgzclNxVD/cSRvjP8XIg0QJEAhD4Kd5cjTuiSMQgxKGUVyznRRAcR2oo53b9yP3peeLr7sRgRkWzCZ8QiYh/vPebJM141GNyyAiEtPxsAV9BpQAl0FEJKZtwBH/u+jF2CAxbcNg0SQIgECsBOATMk/wn/dmi2tk3tJG5oeNmiAAAgYIQAAZgGSyyJLF1UQ0eEiyyfqur8Zjy/ApcmauoIRi4gz1ExM+VAYBEACBKAkwGURESxZX+1IMcRlEJG1CFMXQdTemi+FBxpfG/vtGGcf817914WkkGAEoIXwSQAAEnCBw4ojWfFHM1jihOidGgz7iQ4DLoPh074JejaufcMb+940yiCEFHCghBRB/Pl48piMPD7IvfM+f7DAq6wjYKoCsM9OJllat3MO66dc/0Yn+/NLH4CHJXhRDzM0z9wfplKkBg1Iuv8JRr4zoEPLLB8HicSBi2mKgrm3u4jEd2bdrLYRhIBAQAlwGBWS8AR+mKIMYijdnhtaq1HDE5TD1WxM58ABFhAafUEREKAACIAACdhFYtXIP3EJRwfVibBDzBrFhrlhWNWBQiv6QLRdDYnfhhNHMGaWs2BVXp4nlg5CGEgrCLGOMIAACLiUAGeTSibHNrIgyyGDPs94pZyXHXNopYpVw6odX5DKIiGbOKA2aGIIS4p8EJEAABEDACQL9+idigcwJ0O7ogzl4RLdQ7HZxGUREs94pjyiG3nlLlk1EdOllSuUkyqDYbfNiC1BCXpw12AwCIBCWQD3F/2TFsMYdfgFX0GES7vp70ULppCIiGjrMysOKRl/UYfRFHXh4kMMR0wrE77xVrhBDV1ydFnAxBCWk+JDgEQRAAARAIIgEuAwiokULq60VQ0RkrQD67ONiPkmFBfvvfaAbf1QkRIeQ4hUeGQHsHcMnIaAE3v5vGf8OKAIMGwRiIPDWm2XsO4Y2UNUkgcKC/Yqaj0zZrMjhjwoPEM8XE2JgkJgWy/g4DSXk48nF0MISePu/ertYw1bDCxAAgQYCb70Z+hckpn2Dx3KHkOVkevZpx9rkCZ0uRDEkpsUqV1ydxr7FzICksToWkInGMPUIvP3fsr/8NYqzzt59Wwo//PNflIGHen14+d3yZfIxgEQ0cBBOAvTyXNpj+1tvll12eRT/guyxItZWhw5LZgtk7pdBbKhGNBCHEk4AEdF/XpIW2v5+XXCvtYcS4p8TJEDAEAEmg4jo3bfL3SCGHhibJ9o9ZXpP8TH2tCiDYm/NkRY8EDHtCAefdLJwgRzFPGy4lVHMmnS8ooE0jTeRyTQQq/ifl4oDK4awOmbiw4Mqnieg8AApHnWGx2UQK6N41Klo0yuFDCIidY5NXbu22XrXWuZxw0pLD/BvhQdI8WjhQLkMIiIxbWEXXmxKHR+tzjExLlEYmaju3SrwCXl37mB5TASMq5+YuvF+5YGDEj3oFvI+d9eP4LLLu7AIIftkkOsZxNNAJn0embLZEg0Uz5G4oO+E+nr8BuWCeYAJWgT4xYERD0jVqm1XnugHiu/qmI77x6Y1Mk8ECV1OF79J79s1/QFut7T0gDj6tLSm4qNNaYUfyIEFMqsG8u3/qnhTo86IcL0GL+lwQuEEwuqYw/zRHQhEIMBlEBGJ6QjV7H/N1Q9P2N+ndg+Wyx3tbhpyBw5K9IQM0hkCXllIwBkZRESi9BHTFo7FRFM/fL+DfYerK8qgcGXckB9Y6aOAj9UxBRA8uoKAq6SPmkjcNZDaJDHHSYUk9ou0vwmkpTVlbiHHZBDjGbsAmvvjDj41J53clqfNJX74PtTaD9/vOGVkrA2aM8OqWhBDRISIaas+TmgHBOJAQC161DlxMAtd+pRAWlpTh2WQ5SBFVWR547xB+5bD3pxZxr55X0jETgBKKHaGaMF6AorAIMWj9f15uUVR+ohpL48pJtvrYqqNyiBgDQEuhngi9nb5zWVEJKZjb9nyFl5+oZh/W9645Q0iYtpypFKDz/6rkLd7y+2ZPI1EVATYGhlkUFTQUPgyuuQteg8cQIATEP1Asa+OERFfIHN4aUyhfqy9yIzj0kw8/2wRz7/xlgye1ky8/ELoTjRW4NobXH1sI+KENOcxpkxRBjFVBDFkDig0kDluqKUmMO6uddOe6KXOR46awMcfVvLM0Rd14GnvJpj6mfvjDktkEBHZJ4A+/3QbEZ37h/auoi3KICJ6/tmiiGLIVfZHNAZKKCIiFAABEPAAgU0b9xJR9x4tFLaOu2sdy2EJ6CEFH8WjKIMUr7z+aJUMUnPge9FjjD5mMoiIPv90m9vEkHrUfspBnJCfZtNLYxk/bj379pLRsNWtBJgMIiKeYJZyGcQNV+fwV0ioCfhYGKkHay6HyyB+gZe5dhS1uCoS8y+/ogtbEeMJ8a06/f6sCkXmjFdK+LfilYWPLl8LU48UPiE1E+TYS2D8uPViB+PHrZ88LVfMQRoEoiKgUD+8bjjRg5UyjihiIr6rY598FFqnu+BCN67TiTIoIkyrCojhQS89L0fkXHejMhCHySD258VjOhLRjFdKrLIhYjvX3pDOooU8oYrgE4o4oVEXUEQFKR6jbi4AFRTaKAAjlof407xdP83bFZzx2jRSxYoYTs2PhXN8pY+O5aIq0ilm4as531bN+TZ0TrSFLRtpysjqGJdBRCSmiUjtDVJ3alwYKaKCFI/qllnOtTeke0IGERF8QuEmMaZ8qJ+Y8AWjMtdAP83bdeKI1sEYNEbpAQIuEUPOSx9xbrgGmvNt1Wmjwt6V8ffr0i10CzH1YzpI6KXni9WeIXFQivTV/+iqyNF5NKh+dFpw8yv4hNw8Oz60LbDuH8VcchmkyMejOQLde7Tg3+ZaQC23EYjjchiXQUaYiFHSYtpIXc0yRrxBmhWRaZoAfEKm0aGiGQKTp+X6Ugxt3CBtXGJfPXKU25cOv8HfjhKY9kQvzVAhbB9zdBos6iyOwijiCCwRQBF7iarAxWM68gUyFiRERMwJNOOVkqi8QVH169HCOFnRoxPnYbM1lZDXg6ZNKCHRLYTVMQs/0H+hMW/TLN6gQgxBBnEySOgQEN1COqtjOi0484qHB339eXH/41J5pw9OyuFpJCISgBKKiAgFrCegEENel0FEZEIJGcE6afwGsdiEyfjpJvLQTiuUkHYh5PqLAN/t75IgJ4fpPjThiB8UrHeIIeOzgNUx46xQ0jICPpA+lrEI35BCBhHRpPEbIIbCA8ObgBLgMoiIPv6wMphiKKBzb9GwoYQsAolmgk0AsUHumX/sonfJXHz5uXRxBBGdfa677o5wCR+Y4R4C2DvmnrmAJSAAApYQSIixlVUr97DvGNsJcnUug4hITAeZCcbuWgLB9QlNevCIhdUJDyECw7WfUhgGAs4RWLVyj3OdoScrCIy+qANfIMPSmILoR/8XOqf7wj+68ZxuhcFxeYRPSMauEEZxmQx0CgIiAYQEiTTikoYqigt2E52OvqgD+zZR1wdV1MHR6hwiElWRYtTP/quQfSvyA/IYUJ8QdE9APt8+Gya0kW8mtGr7wZR2x/hmOOqBnH1ue74ohjghkQ+7WtXy4xOjlT6iSc/+q5A/PvuvwgDekRBQJcRnHQkQcDMBSB/nZ6df/0TuCurXP9FyA6q2H2RtsoSP9RAEkOLDI14vb/pKDUWb+o8X/rGDjh+I1RVlkH5rPn4LJeTjycXQXEHgzluXMzvSuibefleWK2yCEboE7BBAuh3iJQg4QcBgnFAA3UIBVUITHsrBApkT//IC3weXQURUWrLnX08UKMRQQcF+DikrqxlPI2GaQJ3pmvGu+Ni0fNGEe8Zli49Iu43AiuWh4PoBAw25D9esriaiPn2THRuLQfUj2hPA1bHgRkwrNospHsWPBdIg4AwBURU50yN6cZ6AuBwmpp23JFA9zpxRKn7HZezNmsv/4a5ZXc0kUVzMUHQaQN2jIEBEAfUJMRBQP+oPBHJAAATsJqApgBQOISJ6bFo+3EKWz8WP35cT0YEDh66/KSOWxkWHkPF2hgxrs3jhziHD2hiv4kBJJob0F8Ve+HcREf30o0Rv+IhORHTTrTEBdGBcxrsIrk/IOCOUBAHTBNK6hnzmYlqzQayOaWKJPjPWkxWj7xE1vEGAySBm64vPSf+1m/4yuBymbt9tMohbqOMcEmUQES2YJ+mh556JCSDv1w0JKCE3zAJs8C2B2+/KSuuayL6JSBEkRERZWc2YAIIM8u2HAANzKwGrxJBBVTTy1BROQkzzTCTiRSDQq2Pxgo5+A0VArX7Uw4cMUjOxL2fJYilqlX0NHuJc7OrhPrX/vmdctmKBDEtj2qRizh08NDXmNuQGDGog3p2+AOLb7C0/bYgboE6885bk4CGiSy+T1ryC+QUlZGjen3hU2tNx1z+xlcMQLhQCARAwQYBJH4QHmUAXscoVV6ex8CCxZIyhQmJTsae5DCIiE6cNff3ldm7DmWe342n9BJdBRPTOW+X6YujEkzuJcUL6LXvrLVbHIszXE4/mMxlERDwRoQ5egwAIxI9APXk7TgiuoPh9drzU85xvq+Z8W+WMxTfcnHHDzXJ8NAuX9lnENHxC0X2Qnng0H56h6JChNAiAAAi4g4CrnECxIOEaaM63VaeNShEdQkT09ZfbddxC/NRpzaOG3p9VcfGYjkT03rsV3MJL/izl3HBzRsWWX7ZW/MLyx49bT0STp+XyYt5NwCekN3dwAunRwTsQ8CYBHhvEE94cB6z2FQExNkhMqwfJZRB/pdA9ikdeTHEJK5dErMDSxdvenyWpn/dnVdx9+wqxFksz6aPO90EOfEJ6k3jXP7MhhvQA4R0IeJMANJA3582Q1a+8WPyP69MNFXVZIX0BxI09bVSKWgzxt1ElxMCgo44Ku6z83rsVzC2kbnz8uPU+cAtBCalnVi/HT0tj4kYVhCbozTregQAIeITAKy8WExH706N6yBxpHT+QfoOffrKVFVixrGrAoNA+f7FWOBkklvF0GkoowvSJbiEdGfTMU4ViQ7fekSk+svS/n5bL3Hybxlt1eSdzsF3FSdroCwRAwCCBpUt2s5LHD06KWIUJIF5M0zn01OMFvMAdd9t7I/LCBfJ5DcOGmz+sYfbHslIhovNHy/v/TxulLVn40Iwk1HFCXAwNGda+vt5IGz4pAyUUeSJ1BFDkyodLcBlERP9+ujDuYkh0CDEbIYYOzxX+BoEAEfj4w0o+2tEXdeBpNyS4DIrKmEULZOkwdLjy3CBRBhHRU48X2CeGuAwiooULqmMRQ3z4sz/eysUQz4wqoVY/vPqwE9ovnL+NPbKgaf5KJ+GDpbGg3zumM7tRvVI4hIjomacKNd1CvFk3iCFuDBIg4CcCQfpVNtZ5E2VQrG3ZXH/pkt1G3EJcBhHRogVbHV4g+2neLo6hceOwYTe8jCLBLrXgmXzjOs+xOzHshPZ/uEApH3mnk6fl+jVoGj4hPstIgIDrCHz/Xei8EP3TaV1nejwNivp/oHgaG2XfVdsPshr8GtfpUzfzNsbe142nTSQ+/rDSbW4hPgojMugf16eLSmjEyR1ff7X0ymukMxXxFY7AHy5I5aFCOjKIVfeHB0iNAkpIzSTqnFvvyFS4hfQdQkQU99UxHO0f9TTHu8L331VFJYY+/CC06nHRn9y16hFvll7tn8sgIqrafjCl3TGiDCKi6VM3RyWGRl/UQXQLGZdBJSUHGMSuXZvaR/P4wUnRLpCNOFk6+cYNX3lra4oK9xDRued3MbI0pnAI8SGcPzqVhQrFuC7GG1QnIgogdRWf5eA8IWsmVJQ+Ypq3Hnfpwy3hiXvGZbMtYzzBXyHhdQKiDPL6WGC/MwRMyCAHDDt+cBL7NteXwiGkiApSPJrrQrPWF59uIaKMzMSMzMS8tTWaZYxnnj861T4ZZNwMH5dMqA9UgLiPZxJD8yMB06tjaiXkHrcQjyQ18ouyiVm9mC57n94yUdH9VUSfEBGpfUJEFJVPyNyQuUOIVbfVLWTCwtdfLWW1FDLIRFMmqvw0b9cXn27Jyk4U615zbVfxMVxa4RZyPk4onGG+zw/66tikBzcQ0YSHcnw/0xigFwmw5bBo18XUI3WhDLJwQ41qvL6NE0ppdwwXQzxOSDV8r2Z8+bm0censc9vHOIC4CCBu84kjWm9cX8sfWWLJYnk7vf6RnjfcnMHFEGSQgqGtj8H1CTENJMKFHhJpIO11AqJbyJ1KiIjscAtdTH99n/7r9ekzbr8YKuSAQ4gZxt1CljiEmAbiQ45dDPGmTCRWr5IWs/r2a2WiLq/y6sslPF1cVPOH0Z35o74Y4sWI6K03yy67vIuYg7RNBILuE7IJK5oFgbgTsE/9PD49n4/u7rHZPI1EXAiMva8bE0OOySAiskQAxQWXfqdMBhHR6lU1sYiha67tysWQKIP0e+dv33qzjKVZwjE9xPslItbpf9+QLfnr3/ysyQIaMa12CBGRZib/aCIBAiBARKIMUj9GRCQ6gcR0xIrGC9QZL+qXkmPv6+akDIoW24cfVIoeymirmyi/ZPHuJYvlw6lNVGdVuCoy18I113Zl3+aqO19LlEGsdy6DiEhMa9o2c0bpzBlyhJZmATdnwifk5tnxhm382Fb7NmJ4AwSsNEbAJgH09Zfb5f7PNmaHL0rxqxhcu7eIa6APP6gM56c8+9z2igWyaCeHnwUw+qIOXAMtWbx78JDId3RE21e05QcPSTYYJxRty+4pzzXQzBmlV1wd9QFO0x6Wz8Qad39MB2KZBhJQn5BmSJBmpmmyAanIZRA7uj4go8Yw3UYgJIOIdv5PGa/qNmutsofLICIS06bb/+brw2rSdBNHVuQyiGUrHsWyZ5/bnn+L+UbSXAYR0ROPbjRSJVwZcUVMTCvKL1pYzb4V+eEeBw9JZt/hCng6n8sgNgrFY8ShcRlERGI6YkULC8AnZCHMwDUlyiA2eFvv8QkcXwwYBJwiwDUQS5x+ZjvTPfPdbaZbiG9FHQHE/p8uL6u57Ar5Fu1FC6uHDov6dtWZr8mrSFdcpe0+uezyLnytKmKQ0BefbTvnvFg33LHAIN6piSn47JNiXqukZP+DkwztyFZLn2kPb3beMxRcJcQ8QDw2KO4OoScfk25IvvMee+9G5p9UJAwSmPVOORGNubSTwfIo5gICvt1F7wK20Zlw0Z86iH6gcKtj0TUqlH7tP9IWrZUrdow8TT5aOis7tOfL2qUx8f/st2YWcjEkmKOX5MdobdoY8lnOfK1URwzpNXf43RefSUcPsD9j10MK1fXXv3Xh4UH6EdOiDDpsmpf+Dq4SYrMUdwHEzGAyiIjs00MT7l/PP5iTHs7laX8kpk7eJA7kvvHdxUfTaSaDiGjWO+UQQwwj2yzG46ZdsnfszLPb8QWyNme0ND3jVlXkR2JGdUFKLL27M06oavtBJoYs10BExGQQg/b9nAouhqwVQKx9UQaxnKjEEJdBX30hnT2dmXXEuYum550JoHDV2b+IM882794jIn0BxLouKdkv2tCnv9TjQxM2GHQLiXXjlQ66EtLkPnmitNI8fmIPzbeWZ3IZZHnLvEFRBkknSd6/3hIxdMfdWYoFMpcETU+dvCl2McRlEMMIMcQ/TkTkEgEkmsR/4r8s5kafjt2HwWUQEcV+KqbOCGxSP7EsjSmsZcc/2iGDxI76D2groZ5T8fRzg8R8m9KdurQqL5Mv0DCxNKZjFVfz/MOsU5i9Wr1qF0v07ddaLMyb+vrL7eFa+/xTyZ/Evs79g9H1tfferWBVLvlz6Io3pn4ONxbF3+Pu76ZWmVHUt6hoQCOmdegxGUREkydu5Gmd8u5/pZBB1hosSh8xbW0v+q0pHEL6hfEWBIwTEFWR8VqOlbz37jz+HWOnp5/Zjgmg2GUQP/yaJ2K0zWB1Z2QQM6ZTl1adurQyIYPOOid0xKJiXFy7EBFLf/9dFftWlOSPxxwb+h+cSyJenRczkhBVkU55LoOIiKdj9P2IUUHj7u8mPupYYu2roPuEnng0/4dvSz7932kMq1r6TJ640THnkLVTq9+aVW4hIoqXANIfYOxvx1zaSXQLYXUsdqTOtFBP5uOELJc+9q2O3Xt3nsjz3rvzHnm8p5hjIh27DGKdOqyBTIw09ipR/Yc9bHgyXyCbNKVPxIhp5k3MWysfiZS3dvdNt2pvLz9+SNuli3ccP6TBK/ZdVezjMtLC4oVbWbH6+vpwPxijkkdRwTRiYbRlAq2E/nDGHMaLJbgeihYiynuUgPjfnqYDn4uhcP/aPTpwmB2OgCLCN1wx/fyRp6aIC2T6hc29Vcgg1oglYki056Xnpd1A192YLmY6nObnDB19tOT/GHVGCjfgqr9L15qyaCGW5q+sSmxouEEsJ7dl7Is4CQ36fNGCqupdv4aLkjZnNpNBq1dW9x8o72JrckzCrwfrzbUWsRaXQWLJByflPDRBusSTfUUlgw5Xiuffwb13jMsgjn/ICZ3rtT48DviExFAhy7ePaa6OWRInxNHFPaFYIDMSJCTKICJavEBebp/+ZK+4DIcfaKuziTcuhnmu04vobx/SG6bNFj8YmvrYdMsWVtRUQkQUlVto44a93KQeOS14moiYBuI5xsXQ66+G7tu68hpDF7DzXtQJLoNWrZT+eR53vOT5EMWQuoqFOUwGsQZzcmMKw1+0ULqBddECyWfTvYcULq25z4svkJ15drvnnpEPG2QGhPMJzflW9gM1Ci2USTUMOiP5opjBOKH33q0QldDgoe398VtioH1Cin8zi+dvGTw87CKuorC1j5arH9G8SQ/naoohsYzX00z6MD1kRAaJ4337DeknTtXW3e07Sr9Rjb1znfNiiMug2C88EoeGtAkCrlU/JsZiVZWXni82IoZEGUREr79aErsYUg/h2/9VOSCGRBmktiGWnE0b93Tvkah5CJAY2nzTrd24GBowqE24Hk8bJTvJzLkhDQog3vslf+5YX1+/ZNG2wUONRljzum5OHCkj3WypI7ap3T/qnNgNeen5YsWvXLG3qd+C6AGa9HCu+Khf0Vtv7xvfPUYZRERFhbvG3rnOWwOHtSAQIwHRPxRjU3ZXd0AGEZHCCTTn2yr+HeMAmU/ISCM33dptwKA2Awa1GX7CEfvCNOuKTiAxrVlYP/OLz7bp7M8fc2knLoP84RAiouAqoSEnKN0/LIdLn/ETe/C0/ucmqrdcA/FEVNWNFObheGJhJoD8qoHEkRpM6//q77AYwoqYwVlDMZsIKFbHbOol2mbPPjfkeGBLY9G2YEn5RQt3xtiOepeZ5uqYupfhJ7QefkJrfrkHW2VTF2M5I09NYd/hChjJ5xqIJ9S1xlzaiX2rX3k0J7hxQkQ0ZdLGxfOlc66IaMgJnR+YYPsBQmr1Y8TnbPyzpdBA1sblGTfDKyW53CkqlIOEmOUZmdJvYPFaI4MqMvH52bwpFPIytvuNscQJmeg9LlXUoUJRBQkxm5krSJRBLGZxycKKkaO68HEZ/zElLpDZsTTGTXIywWNxWKd8QUrHhpUr9vC3/QfEeo6iQgCpdRXvK/aEQgAZVGyx9xvfFgIdJ/TAhB5TJsn8HZBB8Z1p9K5DICOzNRdDTAbpFLbvFTSQfWz91zLTPVwPmZBBRCRqIH7GPRENHtZx375D0cYvLlpYndOz1YY86dRBS2TQ9m0Hiahd+2PiO32njUpRiCF9e0QZpF9S/+13c+Ro6A15ewYeFzZUSL8RvDVCINBKiIgggIx8SvxaZvqTvbhbKI4CyK944zWu/QW/0uHr+woLpXsAMjObxcsYu/s1J4A0rRJ3sLICTz5WYFwMcb9FTs/QzV+aHRnMZDKIiLZvO+gGMTTzteJhw6XNa3Z8LZgvu6UjhgTF6BCaOnn94IbDh0adkcK35hGRuBDJBxgQh1Cg44T4ZDuZUDiZFY9OWoK+QMCvBJpmyS4EJoOIiCf8OmTHxlVZ+Utl5S+Odcc74qqI5zic2LRxL5dBmzaGlmKZGTyOhz2y5bCC/L3sO6KpTAZtyNuzIS+0psZrLf955/79vy9dvIOIYpFBn83eOnWydPvkkoampj0cuomS98W2959zXnv2Leb7Ox3ciOl4zet1N6YzAWSHDBIDg8R0vAbr/n7DBQOFy3f/iIJpYbfu8nE4PKHgADGkAKJ+1Hf/iBrIeTEUd5+QGhfP4c4w6cSghnODiOjoo+WDznNyW65bK19SxqrMm7uTffMWiIhroBmvFIn5y3+Wg7V75CTW7PlNfKWfnvujpJzCfTExFO5tAPODvjoWrym3QwaxsUAARTun4hoZqwsZFC1DN5QXNJDGbRviAhn7H6VV4tFuMNvNNuhrI4XlQ4clcx0Qi+tC0ax3H9k+/M9mS/eV1tT8zgayemV1z95JLD1v7s4RJymjf/r0S166ZPfxg6UyjRsnFBVKXqKs7KS1a6SzGVu0DP2XHW4djWuguT/uOOlku5bzvDsvmpaHsGq+RqarCDz9ZAG357Y7D4dC8CwkzBKA9DFLznv1+C/WNXt+gxhSzB+TPixgKCoZxNqxVgC5yg+0b9+h0pJ9RHTBhaEL2BX01I9MBpWV1nz1xW9nndNJXYDlDD+hNfcJERGTQS+/UEhExxzTuLK8plEjysiUtNHqlbv69leeLfTTvNDW1xNHHPH2mac29+mXxI8XSkigogJJUaVnJo+7P5fHCWkGCYWz1pf5UEJRTOvzzxbdeEtGFBUsLSrKICJ6+skCHTH0/LMhF2scbbYUABoDgegIiH4gVpPLoOgaClhpTQ3UocOxfFGsQ4djvYhk7Rpplap3n6gDulcslxwzaV2bE9GK5XsGDDxiV7ymM6xX71bTp8r3cLVp25SIvvqiXC2G8onlOQAAIABJREFUuBctoRH17iPfGiayzcltffTRjUqLd2dkJjVr1lh8xdLff1e1bo0cXdR/4BEyaOVySfSwy1xHnppy3vmpa1ZXZ2RJvQwZ1laxW56VDOyfUEKGpp4LC00x9OrLJd98VUpEgwZ3IKJ7xmUbatS2Qtxa1oOmzbZ1jobjQOCtN8tYr5ddHjoDxogdkyduZMXsOETUiAEOl2mVeDTEkGnmbhBAZWUHmP1dukjywvgXk0FEtHZNjQkxpN+RpjOsQ8fQjsWCfFms9O2f/Pvv8vWW7E5Z1nJuzyTmCtLs6NTT03vkSgKO306vWWzl8pBziMmgPv3klTgi+m5O1ZBh2otlmld/aHbh10xETEeeWbWwEOtwGUREy5ZUEtFj0/LFAkiDgK0EuAwiIjGt3+nkiRu5DCIiMR2u4pYtB/h3uDLuyNeIE3KHYbAiJgJcBhGRmI7YKJdBEUuKBfLz97Lvhkt4lPvFxJKa6b9dmcbzs7ITs7IThw1vPWx46xEntWHf/K1mgjt4srKTmAwioutvkn/NDhckdOKI1ied3Pakk9veekc3UQYR0amnyTeUaXYX8Ez4hAL+AcDwQUAmMHniRuOeoS1bDnTuHN0v5S4B7a3YoK1bpaMFU1NtP1pQ8ftb3B3b1n5aevdpFa0Yys+XpU/+4ePLiwr3ZmS2UCyNiXayAxXZFvqfl+4mouKiWikoJ0O6x14URqyWuKwmtsPSg4ckDR6StGTx7sFDJL/O/J92rVqxq66OThl5hF9n2VJpc9mxx0r/ld98m/ZyxK8H69kt90c3kX9JOPW0FHF1LDjnBqk5sxwooXBkTOYvW1LJ1shM1g9f7bY7s8RQodQOx856p5yIfHMHXvih4w0IBJEAk0FEtHXrQQfEkIj4sWn57hFD/NTBqu2/DDxOI5jmh+9DO8YVQkEcVCzpnIbFKZ0W+LnSK1fs2bb1YP5mKSbpnPOkKOnjjg8tUSlaYGJIc3GNlRRlEF8dY2Nk4qZPXyk2aM3qXXePzVE0zgKlWTH2SnQLnXNeeyaGuAz65uvtRHT6me0U7QThEUoo8izfeEuGYoFMp45NMoj1yEOkmQZimbPeKVeIIYXBiJjWmS+fvYo2Tsj08D3qEDI9XucrchnkQNcKh5CJHl95sZjV+sf16Saq61ThMoiIUtqFIrV5nJAog3TasTw2KFxfixaEZNlHHxT37ttm86baSy8LG8CnI4NYF8wbFK47ls/0kH4ZIvr6y+1nnh0SOlwDERGTQSzx229yJJNYIGLjni4AJWRo+ri2UKuKa67tKn16GiKmWVvx+l3qgbF5fDBTpvfkaccSzz0T2rB2061x22Tn2Hhd0hFTP2+9WRajDIq4NMbUj/vXxepcMjGxmZGaeoyTYigWY7kMIqJXXiy2XAyJtnEBJGbakc7ObsEXyNiuMSLq2Uta5zL4VVEur6/l9my1csWeiPewslvGRLcN6+iEEyWvz6oVoWhogwYYL8Zl0MIF0k1nRx2V0H+AdNBRcCKpA30XvfEPittKij4hyTW6Ut6YINrZJiUUW3DH3bYfPiTKIGYGxJA4HS5MK6KkIyohFw5B06QL6KpP6DXNV97KFJWQ3atjareQ8d/oRCXECFsrhkS3kGaksOgWsml1LOInh6+OLVqwIyNTEkxzf5DOVLz4z/LvhPpK6Obrl/QfIAUAZWa3VIsh7hYqKa7JyEy8/ib557m48iU6e0Rr+Wb+/gNahyvDXEFMBhVsrs7ITBo8VA6vLiuVN+sR0XU3pvs1JANKSPzMGE0/9XjohENzImP61M28s7H3deNp4wkuhsZc2kn0BrEWli+tOP2cI7wy5uw0bg+UkHFWKGkrAd8oIVspKRrnSmjfvl+JaOLkKJzKdishImJiSFMGsYEwMRSjDNp8ODiaiIQjy0Oo+L0ZvXrrHUrEBUp7IdSdKyEWTM2Dhz76v8o538inYFTv3Nctp83EyX1DXQqp116Vne5FhTUZGa1ye0nhR2xxLRyfb/8n32bPmhl1hvb2sXfeKs9bu/PoJtJ5RUwJEdHgoSlffbGlV+/QKdhJyaFj2RUhGYKZnkxidSzqaRNlEBE99XhBtCJDlEFENH3qZhNiKOIH8ZsvihRiKOqhogIIRCLw4w9yVMTJpxyxpSVSPVvfYxd91HiZB6hqu7RVjYhYIqVdyK9svMUYHULvz5JcKezr4jHygc46GoiVjFEDHe4w9PfmTXsVYojLICJat7ZGRwyJrhdxQxkRMRnEElwMsV6rd0pnWBMRW0oTf7dk/vXioiPuL2OFFy2srquTw3oWzN8VERSrJf75zlvSzpuevdusWFZ1wojUfv3brFgWCnXiJZf/LMVTn3q6fFK2Oj6Vl/RiAucJeWPWZs4o5d/esBhWBoAAl0FEJKZND33WO+Xc2Wm6EVR0mIC+9CktPVAqrLAYt23f3l9ff7W4epfko3LJ15LF8n2oEe156vEC9jtz/wGJ3BukqMVVUVZ2EpdBrIwog4jouWeKliyWD4wuLd6zalnFxg3V/HJWsVlxJVHMV6fZv7U7blm2ZNFW/nb+vIZ0Qv2QYSkJCSQ6hHgZXybgE4ppWr//pmTk6VLEdIxfUbmFZs4oveLq0Jld4bo24RB67T8lYmtX/T2KobHfWvg/YAQJiSSRjkhAFEA++3Uz4th9UCCcGOIaqLT0QFpa5AOouENo396QAKre9Wty6yYsoJixUkfSWM5Q4RAiIiaD2J+Dh0hrRvyuDLZExR4Xzg+FNuuvGHCfUHpGy8oK+QaP0ReFfuquWhFa2zp+SFJGZquiQtktlNZVXp4bOixZVD/19dLJQ4zGCSe2HnVGCl8gUyyN5a2VipWX1XTq0mrJoq2Dh6YOGJSyYlnViuVVQ4bK+8vy1u081HAidp9+bQce1w6rY5Z/zDzf4PffyKLh+29K9u37/YEJPWIZkv7q2MwZ0lUeOl9TpvdUhAoNPP6IawKjXb/T6Uv/FQSQPh+8VRPYtVP6P4/9z9e8RRNWAGJIDcqBnJR2x/AFMnNLYzpGRhRDxcX7d1QdaJsSWTB9N6cqohjauEE61ZB99cgxtOeLqR/1uhi7qqJreouSYnk72IEDdVwGMUm0aaOsUVb8XDngOOnaJfZ1zx0r/3J5hs55jBf+US5cUlx7yqntiaj/gMT5wqWqrJ3v52wdeVrqgf2HUlOl68965ErKiSmw4Se0FsXQ4Z7lvxUCiOVOuH+Nohh7fPTJ/vxaViJKbt1kR8OC6ZpVO04/q/MFF6ZqRkzzo+1j3L6qaZIzmfAJRc35jruzzj/zO15t8HBp3XTKpI0xiiHeoLmEQgyZ2EWvcAiZMwO1AkXg5FPa8kUxS+KE9u39lYuhGEjGLU5o2c/SycLSFYTHhT1ML4ZxOVHVcgFk0Oji4v1EdPZ5Hb78rJKLoagufhc7ys/fW1q6Py1Nvvlr44Zag2KIiOrradNGSfF079FCbJOIuqa32HxY8WxYvyenQY4oyki3tB4WQxXlshr78INydjYj9wMpajXooZB+uunWDO5fZyV37vjlrTeke5x+PXioQ6eWPXLlBr7/LuQ3GnlqCncIsWOp2Q58sS8WWr5jx/59e38jotxebed9X9gmpWWLFlI09OuvHlq7Rl4BPO106dfp08/qzKr/vKTqggtTeXzqZ7OldbTzzk/lMojd9uNRMQQlJH5IjKaZ+jFammjq5E288H3ju4+9r5sYNK3vECKiK65Oi+gWktRYbGcIXfX3rhBDfJqQMEjAEgFERKMv6vTxh1LkJvviP3APZ3jgby6DpCsIf97tXTFkE2sjq2NMDEk3VKQ34xFCya1lTyE3TN8hxM8BEsUQr6ufYBqIldm0cS8TQ/95STo3cuMGKVInu1to11g4MdS+gyShuAxaOL9q69Z9O3fI0egGDyW66daMa6+SVc7pZ3X+fHZh777yzq/9+39n94iJMkg9rvp6+umwb+nEEdKhREwGsYtam7c4et/e30qK95x4SsaIk1NZ9fItv/Tu04aJoTnfVIw4WRJnPy+RzZj98dbzR0slmQwSE+revZUDJWT7fIkyiBpUERNDUXXMAoMMRghF1TIKg4BLCIy+qNM3DZt+4yiDSkpCp6d07Rp5mcY0uoULpP9Whw3XuDvCdJsurGhQ/WharhBATP1EXBfjMkhs07hDSKzF0kwGSQtSOdJk9R8oe/t690lau0Z2AQ4dlsxWx7aU7d2ze39qR0kJdezUsqK89i+XZ3z0f/IB3JKfZl6VQgnxhS31tq+XXxv8/qyKwoKan+ZuSUoO7ePr1Ts5nBY84cTWLz0vHfLSu6/eR6tRo4SKLXvq6+vr6+pX79q7o2p/Znbyip+3nn6WdPZK7z6hnfMrlu8oLpQ+qxdf2p2IuBjioFat2NGv4SQknuPFBJRQHGZt6uRN942XPlXRfhkJlI62TbF8VCHSYkWkfUlg4gPr+bgmTjnsjudZFiVat2nCQoVat2liiQaStxRbZJ4dzTAZREQLF1T7XgyZAJieLq9qqeuGUwDqkhmZzYsKpX3pscggdbOzPyo7/0L56owrrw5dLfK3K7uuWrnn2GMbnfsHaTnprTeKOnRs+ZfLJWFx8JdDu3YeOPR7fXpGyJ/EWmYyaFHDyc6LFlTl5CYpLrhIz2iWntFsfd6xy3+u2lJW07nLES2MPDVF4Raa/9MuroHWranu1UfWQz/N28XcQtKJQfmSgEtISKirq6MEonqq2CJLug3rQ3vye/Zq3aRJwpChKQWbdmX3SF6xvGrAQO3jiNSUPJeDXfRGp+zRR6Q1WvalDglS5xwui7+dIPDic0UvPhe668OJLv3ehyiDpKP2BFVk+dBbt2nSuo1yBcTyXiI2KDqEIhZWF+DLYW++XjTnmx2PPpIv/tDg5bkM4jlIsOWw9PRm7DsWINnZoeCejMzm0cogHhvUvUcLnhbtSeva8rjjk9i3mM/SPXJkpXLZ3zLuuDtrwMDEX3+t69ipRbv2UphzcVHNP67PXDB/F/tmVZgMUjcl5uT2TBp4XEiF/PHi0IYYds0qEfGEWJGl16ySnDo/zdt1ysi2/OCl1I4tSdJBCR07s21r9Vdf17O0WCrJvvLWyXvQsnuE3EtsdexwEenvR58cwB6bNGncpEnj92dV8A2AYjGXp3HGdOQJUvw4++e92bzOlEkbiUhfBilWx4jInEOId4qESEAhgK6/6YiTtcWSSBsnEE732OcZMm5bxJLn0zWz6dWIxTQLiGLI3OqY4scFEYk/MZgfSOwaPiGRhgvTfHWM2fb360J+IIW1q4689ahff0lhLF4kaQsmd4YOTzl0SHZZ/vi9dFDhUUclLJgnbUMecYq0eV7tE1q6RPbWrF0ttXPV3yP8fBMjponohBNbv/Dvgj79QlLmxBGtr778p60V0k63ffukKPXkZEk73nLXICL6/bf6Od9IJ1uycGl+ZuOSxZK1Ex7qIw75s9lbzztfDjBSqB9+JKZY3s1p+IQizI7655pY4YEJPfRlkFgYaQcIKISRAz2iCz8R4OqHJ2IfneJniCh9xHTsHXmlhbfeLOPfEW2uqPiFfUcsaVMBUfqIaXV3TPoQ0eZNoQ38rNjQ4SlDh6cU5NcWFsjfDSHVkhwZPkLSQFvKanNyNfYbHj846fjBSWtXV+f0TMrpmRTRoShuFmNpUQYR0ax3yg8dqk9pLx0rUL2jmuoptWPi8JPSVyzbedooye102ukdmQySotfPlXb1SzdvDGmnkEFs4xh764M/EScUdhJffkEKc/t5cSURHTcktL/x0UfyFb/khW2i4QXzADHPELxB+qzwFgSsIBDTLnoLNVC4sXABdOBAHRE1beqi30h1dmyFG04s+W+9Waaz77qi4he+5UqKQe547JYtv7DuOnc+NpZ+o6rLBZD6YrK8dbLoYXHQ/fonvvyCFLC8eOHBxQt3XHtD1pChycwtVJBf26dv0qqVoeUnbsPwEV2POUb6DCiChHiBnJ4hkaSILWONDxka8vqIYoi1sGyptDF+0PFyHHR9fULVtpo9uyUd1qx50249WvcVnEa8U3ZnCBdDPN+XCSgh7WllMoi/+3lxpSiGeL7xhHc10OyPQ2exqxeJjROwo+SMV0oWLagcOjykU+3oJYBtTpySq14g88TSmAsnK9wvTkwGEdGBA3UuEUNcBsWIccuW0Ba8zp3Nb8ETZdDOHQfrJN0of23Z8ovlYkhxR9jhrqS/2aVjpSXSclJ2N2k5afOmvb/9ForOz1tXq9gURkQvv1DAxJCkOZpJ95v265/MxVBaV/lcaSK69Y4j7uHmB2rrRIgvXbJ73Vpp7Sy3Z+KMV4rq6qhXH0kwcZ3N7D/QsOW+sGB3YcHuP16S8eVnRVXbJA2UmNSyvl62f/Wq6rv+KR0OLN6YJg4/YvriMR35ApnnlsaIyEW/i0Rk7ZIC4X6uucQ8W80QVZGtHUVsfMYrJTddu3TZ0u3Nmx+9aIHkt2NfiBM6TCLWvxW6R/EYa+v+rW/u5wNXRe4BY5Uqcs+I9C1hMohdgKouuaXswJayA1u37t+6VRJDJr769JWDqfv1T+7XP/neB3Iys+Sce8ZJKuTTT7ay76mT83j7XBLxnGHDk//zUuH4e1exOGgi+uLTssICSdysa9jVr1hB++G7yuU/b91d/UtGZuL77xa2bBXampCU3GrUWVLY64BB0mlDMX5dPKYj+46xnbhUh08oAvZRZ3b59usyXsjcjzleHQmrCCxbKkXwsa/mzY9u0qTR1f8I3ddz+A3+jokA1I85fP74KaE4zsccCikCZssBHbeQztIYEaWmHrt1q7wclpp67MFfQz4Y0/ZoVuQySPOtIjN/897sbi26dW/Bl8aku9x7aVzokZ5xRGafvq3WrJYkC1NFf7y4A5G2P3vRgqqhw1PYedannibHWbNt8P95qZDZU1RYk5AgbYZXmCc+/veN0H9eK5Zta5V4TLfuyRmZkuvoh28L2qW2+uWXQ+yQRrFWANNQQpEnfdSZXa69Iex+gcj1UQIEQMBRAnr/NzhqiOHOXLI6lty6ieWuILUM0lc/IjPx6g+WNhcntGG9HM2Tk3uENOF99R+QaEQMdewobYY/ukkCu6GsZ6+WohhirV17Q9b/vpJ+TzvjLPkeU94L10AsZ/kyeV/YwEFJn34SCkLo07f1mtW7+LUer75cxG4Z+2nerqOO0vtsFxXulk4HUi2Qse52bN876PjUPv3kkKMDB7r2Pnza0CcfVV5woaTJ+KVjAQkP4lMT0F30D03YwBA8OCmHs1AnWLQQZBBfFHNPnNBN1y4V5+u5l48XHz2UfvBe6fTChx6x69xCD6GwytTz6R+z6RWrWkM75giwUCG1DFK3VlwsBxWlp5uPKFI3y3O4DGI54cSQqIT6DwhF8LBahYX7N2+U5FS3Hi0zM8Me/Mg7VSeWLJZjpQcPSV63tmZ9Xk1mVujoI4UYqiiXzoRkYc6rVlQzJUREeWt3Nzoc0rJwfkWHji2yshNZPPVnnxRnZEpm9+ydtH7dbnamYv5m6QK1/E17li6SrvE+/ezs33+vY6HTNXukKzv41wUXduAyiGUyMfT1lyHvu+koIt6LaxO+9QlNGi9rHekUhMlHyB0ug6T/gSZs0BFD0EDsgxuVAHrpeflo+etulB1p8+bu4P8ARpzUlqdjSTz38vEKMRRLa3GpyzQQ6xp6KC5T4OZOX31ZOmaGiK651pPLvkY0kHTY4GEZpJ6Lykp5XYyIOnSwfaeYWv2IJnH1wxPi23BpfpMrl0EN+9jLevdJLCyoKSyo6dipec9esur6wwWpzDO0ccPuNm2OUex+Z11ce0PmooXVa1dXFxXuSe3Q/Nzz09atqV63ZlevPsnnni9/Ttavk11N3Kqiwuq27SRnWIPTiAYPjfWH8IcfSKGZF/1Je2mP9+uhhD99QpPGb1gwV14fHX6SdDI6F0OiDOLzpCOGeBm3JR6bln/PuNAZjy4xj8sgZs91N6aLMkg6QMwiJcTan/VOuSX3MzhPT5RBvHd4hjgKgwm+XUW6F2mMfPDu+XTtbHrZYAvuLMZlEDPPVWKILZ9ZFUWkUEKiW0hUQjGKIdEtFM4nZPkngV/mWpC/t7ZWuvg9PaNFUaHkpKms2Fe+ZW9Ku2YdO0nLbT17JQ4cJC9a8WvINq7f06df8srluwry93RJk3RM3/6t+Y0ZCxfIB0CvW1NdUlybmZUoXSImhFH16pO8eqVUJrdX4rSHlrRt13LAoPZMCf3xkkw22OpdklVEdMGFHb76Ytuyn+Vb6AcOarNi+c5GjRIKNldnZkv78wcOknfgn3l2OyaDWEXfiCFf+YTGj5MWGhbMKz3qqMMORCImiSaND4khqcyPkqtQ+DrCaSTkuzH52DT53g+WcKEe4tReer64Z++QB5jnW5XwqAwKN/wH710PMRQOTsT892dVcDEUsTAKmCPAo4iqd/1qlRjilogyiGdGTDA1rD/1ObktmRhiMoi7aiI2HnuBgnxJ+mytPJDaQVr7y8hsMX/etoQE6tS5RfmWvUwJcRn03rsVmzfJHp2Rp6Wubjh8KCs7sXvDJR5cBnGrmAxij8XFtXWHpGMGFswtzuzWvrRk35aymiv/Lu1Ky+6RwhbOiOjXg4eWLpYVT6/e8ilEjz4iLaEcfXSj336TWlixfGdh/u7s7snSbfY/FKV2lGTWoOPaKmQQN8MHiZBi8PRgxo9bz2SQJLdLKssKynWGo5JBOmVd94rLIG6ZOoe/ckPCWieQG0YEG1xCQHQIiSYJh86I2Z5JKxxC7rGbyyALTTKofsKtjrHPwPZt+597Jr+gYH9BQdgt7jm5LXNyW27auHfTxr2VlQcqKw9wn43p4cx6R+8/GrHZbt2lDfPFRXuLi/Zld5M3z3fq3KJHTuJf/yavar33rnTNBf/akLcnf7OsijZtkHacsa8li6uXLK5u3DiBBQNVlEsOoaIiqUCjxgmZWYlZ3VO3lFZv3ijJna8+l9rs3iO5qHBPfT11TU/M7i5vmD94UP6HsnrVrvxNsoepUSNq+NbYkbbs51CQw2Fb/PO3T5SQekIUYoivjqlLEtHkidL1YfiynAALFWJiaMRJbT2kil5/tZR/W44FDVpCQN8NYEkXcWnEVWthIgHLnUCs8fT0puxb7EtcDosog1hF9r/+v54oYN+K1vhjZaUcoM0T/JXxxKx3ypkM4gl13YMH6/i1G13Tm/fuk3TJn7v07pOYld3yjLM6dercolPnCP7yC/+kvGVMjDeSLlWdu71lq6bvvb1WkkGNErZW7F04f1tZya7k1s1T2rfcW/srEa1eKcmpP16SMej41sVFe4qL9iyaX1ZUuKekaPfyZbJziMuj4sI9fCA//SBHfBJRfb307bPYID5Sn5ysyL1BbGCdMvTCuNQhQSc0XH3H6j4wNo99i4y8m54+dbP4HceBeEgDEdHDD60vL9/Hvono9VcVa6nmQU64X1rADbdZLOLS2OyPt/J9fOaN8GlNvwojn06XoWF16HBsOBmkWX/mq/JZO0T0ryekWy/0v0pLQ2dh65eM9u2a1TU/L9m5fdsvWysPbNsmhX6zA4f4sUO9eif26p14/GA5PIi33617ErvU/ZhjJT9FvwGSC6d7TqumTY9aumT3+jzp+/PZWz6fveW9t9cvXyrtvW/dpsXShaXlZbXbt9bmrS5jmmXdqi0lhZWf/t/ihfPL+M75nNzW9fXUvoPslOLRP9KNUoOlSKD0zMSBg+R46g6dEvPWlKV2TFSECvHYIJ7gxhPRe++Wv/euUVeZWDG+aT9ETCuUkHTx7/zS8qLKLlmdGNwRp6aJ96ROnrhx/g/yvgwug8ZP7PHA2NDJnqzilOk94zs9mr0rlsN04oSmT90strBgbtlJp6YR0V3/dF2otWhn3NMPPyTrFWZJp07Nr7xG4hbLF9dArJFJD0vb5sW4aSMyiBsQ1W4+XisgifPo2s88HjEdkJlSDFPUJWlpyh31hYWhlS++gYuvjhHRtoYzGFu3OaLi7XdlKXr58YcqlpOR2ULdi6JwuEfFupg6YJEpIV49PbPFyFOl+031v957t6KkWNqrP+oM6Y73vHW7u/dQ7ufPW1dd2BB7tHhBaXLr5rur9xMdat2mRdNmR6d2aL50YVlCQqNDh+pqa/Ye2C8R690/q3Naq3PP77p2teQcqqujDeultbD0DKlldqRQk2PkY4p++7V+xXLZUcQKF2zemZndmmmmiIcMiRrokj/L///qD9klb30VMS0y7ZTRYUTD//pEJMogVoYLIPaoKYOkimPz3CmGxJGGS6tlEC/5xKP5EEOchgMJhQySNjPev37Sw7kR1Q+3TeEKmv3xVifF0N7a0NEjLVr69ocGp42ErQTKykKemC5djhAuBvstLNzPxBC77qpd+2YDj0ua+WqhQgZptpaRGWFNSrOWfuayn3dv2libk9vqp7nb2bnSpSV72UVjDY4Woz1e8ueOK5aH1qd69koaMFDSK0uXyAFDRFSYvy89Q3LqbNog7TtTfP3p0l6rVu6c+82ahEbSalbv/pIQzO6WlLd2d+++SQkJCR99UNSkSaP6emrSpFG/AVLE9MmntP1stnyu43nnSwpsxfKdAwbKm8UGDNS+iOPjD+U7jkZfJC/CiDJIYZX7H/3wQ23ytFyFW2joCdJv8GoBxOZj/EQpnJ7HBrFH908Vt1DHCcTLKBL8TAFFPh4jErDEIRSxF7cVqNp+UDzeVzRvb+3vrhdDeufwimNB2rUESksPGHTY8FVRIzKIiAw2q09mzKWduFsou1vzTQ2HLm5YL4UtFxfVMjG0etXOvv1kPRHOIZS3rnbjBskJlJHZXH2gEZNBRHT84KS33pTXMbrntPz1oGRd48aNSoq2NW/RLKdXatU2aYda1/RWRT+/kUh0zLHlLZsf2+ToxvX7Nic0P4udsjj8hNbz5u7I7pbUEIgd2nDPZRB94WdjAAAgAElEQVQRfTZ7KxNDfPhnn9uenbgoOoS4DCKijz+s5GKI12LLZB5yC/lBCUmyRiWGJk+LcGivMwKIbQNxYQgk3ELiP1pF+v4HpQ/Pww+tt1UGMbeQoutwj+ePThXdQvY5hKq2N/yUJdIRQ+GMRH68CMz5tuq0UcrFF76RKivLzJnIzoylrOyApltIX6/w1THRyNvvylLEBqmXxsTyMab5itiyn3dv3yatQ7GDoTt3kc7+SevaIq1riz9cILlYwn1xGdRw5qF0qHRt7W9FhXtLS/bl5CZlZYc8SSuW7+nZKymv4cjEnr2SVi7fXVJce+DAwZRWC7ft2Nf8l/bNWbjR1qYJbUYT0XW3Jv4wp2Tnjr0JzVuccprkF2AySLruo19Sn35Jq1ZU85Mb162t5tvpmamKs6RFDRRuLOp8D8kgIvKJEmJiSD0Z8c3hu2HjoofG3tdNsUDGgoQYE6yORfxsMD0UsZjpAixUyHh1+9RPOBs0xZDoENq8SfpNlH2xm5gOP3n177VrpF/re/eRQ0o9MYw530qBL+xProe4DCKigoL9rhVDogxKS2vKQoU0ZVBmZjMWKqQpg9hMiWLo9ruyiork0KKMDBu14JYyuZeOnZo34ndhRP/RWbF8V+PGkjszrWvzDeur2Q1i3C0kfSybfLxq8/7Z8w/U1dPWHQfbNqGOA67aUlqz/XcaOrxjj9zEvLW7E0qkxbXioj3pmUk33d5/2PDkeXN3HjpUP2+uFP2zZlVola1hW5l0AYhCBkVr+LKlVcwndMmfO/EFMm/JIF8poWjnz0j5WIKEuAwy0pFNZcbe142Ipk/d/MlXpz7xqHweo019ubnZma/Jm7+uuCrWwGc3D9M+25j6YetiCxfI1ycRUdu2R9vXaQwtm1kdYxqIdbp2TU18xRA/aHj4CRpRGv9+Wt4hdfNtmUwAmWbFlni4e0NsZ+aMw/9qro78r6akRAr96drVUNBPly5NWaiQKINY10wDaQZHE5GmBiouloRIerqsdbgfiMsgcVA2pdMzWhYXSYtcO3bsP+749lvKJAfPySPb5a2rZZvFvv9ODtNWLJP1yGnJVsdEw5Ys2pra6POymqOo5JiCOZSb3nRA96arNhyo63Zl/f7d9Qf3lJfWVP+6P6Vd88pySbindmjOLybLyEwsOrwTftjw5EULq/PWSjvnDx2qr9hS076D5Gdq1Eg6dmj2R9Im+QsuSl+0YEfPXsotbET00f/JkUAX/lG5HXv0RR0+/rBy2VJ5UMxdff7oVM8JII7dD3vH+GBiTCj2jsUig4hIrYTivkbGxJARb5B3b7FQfwa4DGKv4iWGFEHT0TqE1OOyL4cvkGmGCnEltKVsvxjZYIdP6MXnitgwr79JebCKzvDPo+s/oxd1Cmi+EpWQTW6hcP/BK+zhMojlK8QQl0HsbW6vIy5X1/QJhXMI8UgXIlKIIS6DWC9X6IohJoNYSYNiiBUO96dBUA3Xlsn+GFEMsWYVSoi5hfi1G1HdubFubW2v3kdwFi3Pb9jJxXKyG5a0xAvqe/ZqyWUQKyOKoU8+qpAkVMXbIwcl1e77/YdlNdurf91cWru//pRBgzPbtW+WmdUqJ7dVXZ0U1rNyxe76+vr5c6U96sUFVXX1hxKTWtTXUeu2za76Ry8iOnFE61dfLiwqlORRZUVtx06tfv+9vrKipkPHliuXldfsqe2a0Z6IEhISbri1H7uLQ/qo95VkUM2e38UIIS6DmM1qMURE4no9ETnvtBZnIca0f1bHYgRBRG1SjmGN3HG3cuOlicavubarWgyZaMfCKuE00AfvyWeb/umSjvyHYyxiaO6PodNITzo51tv+YiGgkEGxNBVjXTdLH8XQNAWQogwRde7SbOWKPaIYUpeJJYfLICJ68bmiqMRQLP3aVFf8393CLtavq1WIIdZ4VlYztkBmRAY1XAsausJPIYOisrak5IAlYoh3yreJ8RzNxKIFOxct2MlutFiySHJb7q4+8I8b5ONCFDKIiDasrzUohtatlZw97E8dPcSt+vLzbcwnREQnjEgRVVHDutXe9e++mZslOc/W5R/ITqDsjgl1o+6SCvdt9d2WtQX5JTtqd7ZMbLRp/fZ27dMLC2oaNUrI7ib5cpo2bTznfyW7du5t3aZFi5ZNExpRv4Edu6a36N4jsa5OkkFM5WRmSdvNEhISDh48VF9P27dKwoiI9u+VVOPOHXtra/auXZ1WVLgnIzOxIF/aU0ZEogziYwlOAkpInuunHg8dw/XU4wWWiCHxY8QdQs89I3u2b7pVvgZPLOZ8mssgIhLTih+Opg2b++OOOIqhK65Kc48YMs3QtRUvHtOJhQrZ4RBSjNpuMdS7TyvuForv0phi4OKjwiHEXnE/kFiSiMJpIEUxax+tlUHhVsR0bH7v7aL0TOm/9qTkpq+8IIUEcD2kUyvcKyaAwr1l+cwPpFnmww9Kx+R+1ajqN0qQVmyLKg8mJFDdJbevk6JzWtUdI2sUaW98wd7GjROKCnbm9GqX3KZZze4DdQ2XYXRND/miiotqj27SuG2KpIoSGlHvvu3TurZgRz/zK8l69pY2zDfssZd+HU1Ll/bJ52+s3Fe7r1mL5jt31NbskVbu8jfvriyvqSyvGXZi5zWrQtHTmqMIQiaUkPYsWyKGuPohojdnlhHRd99sOW6w5J8koueeKXSJGNJGgFwQ0CIwbHgyWyAbNlz6IeuABtKyQj/PTJyQtStifEGEL4XwgF9909k2H75Aplgau/m2TE0xFLFNdQFxH7hideyKq9NicQup+yKiR6bIp7ze+4AUvKj/xVlpBgaJddPTmxUX71+0QAoHTu3Q9L235eXUXTtDq2a2hkuLxkjpBf9utKEmjah0+8GfN9S2SWxSN+aBVKKKigPFRXspndq1a1pctD89o1neutrCAmnDQWZWC5YoLNi7u/qX3dW/HPr9UEICZXZr2xBALTuENm6QN+f/8suhrZU1/Qd1/P23Q6z3/321pSC/Nrdn4uqV1T1yEw8dqt+wftfu6n1Jyc1Li6vbtG2ZlNy8ceOEwvzKmj37Duzbl9opNTMrsbK8JrVjy7y10imLfB+ZcjgNz5pLY2w5jC+QeXppTFKW9UxSagLwWubDD23iJt//YHeejpgQHUK8sIVuISaDmBJqONdcFkNEFHcxpPADHToUOmdC8fORk4mYcM/qGDOVuYXiFSEUERcKaBIQV8eIyPjq2Hl0w2f0gmabzmRyGcS642JI+tX/8JGApi1RKKGbb4vJtRxLxDQ/b1PcTqg5Li6D2FsjYkizHZ3MH76XXCBMCaVnJolKaNrj/XjFDetr89bV9OzVyuDSGF8XYy0csTo27xkps8HZ05CQHuiEm//zUuHSxVt//11y6XTPkVasRl8khZz3yGnxn5fkBYHKyv1/vFi6eJVfTNate8sfvpOON1z+89bk1s1WLS/t2adTx04tM7NaffCu9P/a7l1707NSRpzSceH88hVLi/sOSDtpZFr+5j0JCdQ1vWVRYe2yxWU1Nfu6ZrSrLN/duHHjzG5tt1XWprRrsbtaCmY/aWSXn+aW7dheW19PfQdIpz9XbKk5eFDSUu1TJbfTcy8P4ZRYYvbHW5cs2j5lWl9Fvi8f/aOERBnEpipGMWSVEuIyyLgSmjpZlnT3jY9Cz5n+gIpiSAwVUgRRRtt+fNfForUW5V1IQBRDLldC4vbvcXevZDDPPEf6L0dUQi6EbM4kLoNYdR0xpJBBkrZYvf3cC9IvvUy+jeHDD+Q9Spr3WBk374fvd7ClMVEGEZGohJb9HNpGPug4jQ1TYbv7/mmSXY0JcuLkW9WFv/hMGssnHxbt2rkvISFh0OCOmkpo1crtbVOa9+vfpnuP0OLX5k215Vukpauiwj07d+zP6dm2SZPGdXX133xZWF9f1zWj7dpVJfX11G9gZ6KEws1VWT1S9lQfqK+n5NbNd1TVrl8jyaxjmzY9ukmTxKSWLVoes6OK7SxLbnxUQqfOrSrKazt2apHWVYoiWjBvyy+/SAfH79oplcnt1UmhhLizx+uh0Oo50szx7erY4vll559ZdsqornfeY+aOLatkEBHN/V6ORz5ppPSvorz0/9k7D/jIqnrx/+6d3meSSSbJpNftu2x22V3YTlPggRQBC4ry0KcP+9O/PhRFn/jUhyJiRREEFOkoRZayle0L23eTTW+T6b3Pvff/OXPunrm5k0wmdZOY+5lPcu655552J5nv/KpXLkep9ZatEEdCw0+IYBAA3P+D1mmAoZtvKXvumYGbb0HTG7ccCN8r/DnN5kH/c18LHn2k2OLCuc2XZ8UO5E8/F3Y5JGFWT0/0rTccZDJvvNaPYYjU/IsXTh3PbM5fn+r/yMesBIMA4IXnbBOBoc1bzJu3mH/yo3MFhWoCQ3d+JuP+IsQg0YM4djST42L5CgO8/SBqQLSsFAVbviS6JcepVifT6oxYGIObJRLsK3+3DQ6GrVZtX1/IXKQpLkZG039/qfe6D1UsWqzDhtXWck0olIxGU4k4c/TIYEmZdvc7Z1QqjVqr7O5warVqvy/odkULzWqDSe1yhEvKkFvZkQMd9v6eWNBntta47ANmS5nPG0gmVBKaNhZoS616pyNkGwi6naENm8pZFhkJrd9UcfKE+/SJPjw920DGYgkAnnqiV6fLBMj4+0uDUim/F1dfm1Fo5NiBWXdpbpLQgXeRUQ4+fvbTtnxg6Cv/VUd0ZJOIQY/8tguA62xDktvONqcw7tbxo87fPSoWSAoxCM9/2mDo/IbNyt8EgwDgf+5rmYehWfkUJ2nSQ/S7k9Rnjm4IBpE2jU3Igqq1BXkwdbZHtmwlV+YLU74D3/hWA4GhOz9Tl23H5vHECwp4N2F+Ntt+JumMIvDBH/cuFVz+lTFNtK0tVF+vff7ZgaPvIdS77Iryt9/sM5pUxRbV8hWmRCJt/Jzusb8f2QbRNJSWqc+eQQIqtzuxe5d7w8bCRYt1OKVGsUVbbNE67CG3K6xUIWCKhGKRSITjWCaVAuB2v3NMqVKqNepwKK5UyZy2foqidQUlXucARXHOwb6iEmt3e79MoYrHixQKSW+Pq7a+RCKh9yAPfO6S9eUcB20tdseAHVAAR85o0j74QOuSpSa7PYYX/vSTLdYK/YZN4khCr71ixzBECmPaqBnbeA6SkBCD8L7nD0OT+5zSGIS6rKk3YxhatMyS/d6a3EH/BXsTYhBe/jwM/Qu+DS7UkklkZNEEMA99+i5kDjL3Dq1OShRkOVRjF2Th3/jW8EbZzauMb26z00d+gwCEAnDrePq58quMQCZ0DCBjWJTHAnA8oV//EvmpFVs0Dnt437v2y64oxy79K5uNJ47zEpcVF6GQIgP9EY7jWs76KYqqqMxkUT11MmgbiJZZUYhIlzNM09SiJcUsCz2d7nAoDECZiwoCgchAn8tYYPJ5vKVWC8OwoWB06cqlZ0+2JmLxdFhqSm80R8KhZDIeDfsiQa+tt9dQYD609xRwXGGxWafX7NmFREFFFp3Pg2Kp6/QanzfU0Y52xeWMkSjZ/b0BAERCx47y2embV6H5/+B7p3DhtVcQSM0NKdEcJCH81u3tHKxtLHt3Z29vl7OmoQRgPDqyPP4KRmlycD+f47em/kKG1RlllvOX53dgTu0A0WrMqVXNtMXkCUDf+naDyFTomuuryVpuvLlUqCAj9WMqjJj15dWfZiQ9FDh9qRVAMZ/6VjrwYKy3SI5HqQDo7kIGOvi47kO8ncD5CvR7pOiRwrCKABCPswYjkuJcfa1YmkJ627TF0nI26PP5XM5IRaWmtyd84ph3xzuOltNInnTqBFVs0ZiLECGdOuEsKdWVlOoOvNvpdbvDYUVNXVF/r2fFqkq30wIU9PW4mhaWHTvSGY9FIj4HJaEWN29wDNoCHhfHclKFKh7yM8q4ezAmU6gSsajb1q4xlFrKrciZPx2tMR1TMajRoeE62n16vRLPs74RyTV1esmWrUVSKXXkMFJrHDnsal5lxhh0+BCqAUD9zIFYRLObhIR/YDRNkUeLMQgAertQOPDOc4O/ebjzc3ePIUwtfsYT/HnXf1QTEsJdrVw1vG1Q/gP99H8zSTPGkZQ+/4HmW87vwPwO5LkDwjxZn76r6tFH+LThc1UglOe2kGYCZ7GGvz6FQiQDALGYnohtUNr9ik9+J9n+IJL0tMgz/lzXfp3MAQCYQT67sLASlxcs1ONM8gsW6ltbQo1NmeynANByNmizIQ+smlpk4DxS9Mi+3mBBIZ/048hhH7bIbmsL2e3R7s6QpURdVa1ZugyntONkMur0Kco2wHv7YwxCJsyuSJlVd9OHK1vOBrVaGcex9sGI0aTR6ZUcB34fmobTHrYNeLRaNJZSJQv43DK5Qm0sTiXiA729LMsmY0GZUsMySSYW5qiE0mhMxqPxiE+hNiYTka6zR5Vak8VaWdtQ1tE2oNNrjSZ+vb09garqIUn3sOAne8eENdkZ7IVXZ0V5dpOQaItpmkr/yTXedO12gkHo7YtkQjAsDAmzcY0Uglk0yphOH3ls7V137Me3bNhc9ok7kDvl888O3PThYb52AMB/f6dRZCoktJgWYhAA/PR/2+ZhaEyPY77x/A5Mww7MIgASxh2dnjATBIAm+iBe+jHqgQKJLYEFP8yWL6OaxiEQIxylpEQxOBwM4SRoCxYOIQByozAvWGdHEMMQuVpfrxWJhcglFMCwLdTViaRNVTVoVnI5L63saEeVONvXkcPeunrj6RO8A104hCx1zrWGenvC9sHQylWW3p4gABcKRjVaFcdxZeWF5mJ1MICarWiubmuxU5REKpVIJNI4RYcDXqlcKVNqk/EgG4vLtDpaogCKikf8CrVRKlOEAzaZQidXqDxOZIJdW1/GMKzHFfR7wwuWlK1YWez18KZCWy4v3bK1CJMQlgNhXZiQjVY2F5L1vvJ3XgEyG0VEs5iEhAIh8jBw4dJNFQDwNK8XE13MnAoxCAAe+EnbFMHQnx9DuQwxBgHASBiEZyZEn8xc50sj78C3v9skMhWat5geebfm5hWSKw0tr3hOaceeeqL3Y7ejf2hTfTz+p57pgaHxLOT5H2UkPfjx3vBN3E9tmhvy7LOkhLeVTiYzVswVFarWFl6whFDqvECovT0ybJxuURxtHGO6/gv1Rw77tr9t33IZ8q7q7Yno9dKenkyAR+EMq2uQNqqrM1xdo3n91T6GYaORhMftpSgqEY+fa1GXliFyKi3Tbnu90+0K0RJap0cSIMegh6IoiQQMJiWTgpbTNpfDEwn5pDJFKhlPpaJyuVFvKlSqFN2t79FKOcPENYZiuUIjLa5KxCPJeFgiUQBQSpXaUla8aGlZfYOJ47g9O9EnlFRKSaXU9+8fEkDo6mstQvQhhkH79yIjoYP7HRevLQYAgkG4POtgaBaTkPCNNWy5pqGkvQV5sNc1DSOAEWHQsD1MViVhoMnqcL4f0Q4Miz5C+4MJSuBFw82fzu/A9OzAU08gN1j8c9J5SCgQmp7l5BjF70sCgMEog2fuP+++ft6ZiwK4CRn3jHQ0NGrPtYYGB6PVadHLSM2E9RUVKiwKqqhAZj2NTVoMQ0IMAoD29khvb6SiQl1aipopVVIRBgn7JAGKensii5fwEqa33ugrKFSbi+SVVQhuzpxGWczSQYPCLMu1t4WaFhgPH7TrDGqnw0VRlM6gr280MwxH09TJ445gIGYqUAf8MY7lbP3OoN+bSEQlEuT8dfrYCSaV0BmLZHJlwN0vU+qSoZCy2OSx9wPFAFAsChkUDnkVHMdUL2iWSMwdp49KZHKZQpVWtCH4W7rc+NLzfGBubCokXBEuZ9tEv/SCbeWqovcOI+OTg/sd379/mZCEsnuY+TWzmISyDfHIdn/16/XXf+AdcppKIb/aKbIT+sH3+DA2APCd7zWRQecLM2oHJhiqRLQWLOQTyvlEDeZPL+AOJF0pmBP+CRiALuBOTsfQT/8QAEIRVpKW9IQoSnvHt8cxrlIlwRjU2xvFcDNqJ6JmhIEwAJHba2p1OK9F04JMFERyVVQwGKX19Vq9nv9g7e2JLFhUSFEcywB6ZeRQyNC4tg6xUSrFnWuVnjvromlKb9RaSkyWEq19MEilo1dzHCuV0gzDWiuNfT12rd6QTCQcdm8sGk4lkNmT194LFEdJIJUMSlSKZDzGJKNAsYmIKwUBCpThSJvBuLyv46xaV2Awl/ldA4UllbFIuMRaXFtn+MdL3Xt38R9hllJdfcOQaJNvv4VYJxHn5/3Ba4YEE5q42ato9y7g6SwmoexdE9jlwboNWJ5ccWg/Egv5/SiepvD42jfqs8VCD/2cj4YOAF/8yuhh7H/wvZbd7/DWkci9cIphqK0V5YjBR30jiuM+E46XX+TVw9ffgOyxZsghFAhN7pQIBgHAnx/rWb7CgEKxzR8zZgdk5mn6t/aPl9E7/9+un6a3/aSryUT5iadDNfbUD4TOXOgt8xHEPUxaIITfQX5fEkmGJnDkD0N5DpIPA2GrIPyzpydSWYmUWX294aIiBTEtam3hBUI4tHR3V7iqWnPkkL2xqSARZ3q6PG6XLxiI9vb4A/740uVI69TV7gagujsGTh89pdEZpFJ50O9LxBNBn12m0DKpWDzsYiFGgUQCmhSEmHASaFaqUXNApSBKQ1ICmpCv01jclEzEOBaUmoKQ36szFlz7oYWdHQGc2iwSQvKhwYHg9Tdm3PowBh0+iFzoly1HrmSvv2oXwRDZwGuvK5nVYqG5k22DPBIUXv2HfLY/YeU37xEHmRCRkEyGQj8Ljy9+pVaUxEOYwUOEQfjGbbuuFPaQo/z8swjRctsMiW5/43XkZvnCs10AcOOHq6/6IPpTubAHwSA8jZkMQ5OlICMk1NeLzB6v+Teke52HoQv7PkQONQ70FbmoWHEN3P0qPDy58xkYQGakZWW8jzEAYAzCo0wRDIlkQpOuHcOTn8KsfH/+flrPdV7JBQAf/86wzwWrxsilcZAQVnWRHkTyHlKff6G9nTfxGdZUKLsfkd10fb32Hy/bBvp55/yaWl13V2jNuqIXn0ffnD3uiKVEc9FKc1dniOM420DINhBesqxo7+7ugD9G01QqlWJSKC+oVCLpau/k2JRaq/d7ncBCVWOD0+aIx9D0IgFnPGpnIUUB+vDiICkDMwtxmdKQjHlj0MJAkAaDBAoUUKw2VjKpiESq1hrQt+iqukqvJ2g06f2+IE4/WlNXum59+Re+zH9QCkmIwBAhoZde4E280+lERgwZkL1RM7Nmmr48zczFY/toYigtFAjhCYswCAB++P1WAkNCaRBZ4JUbt+UDQxiDcvuRkT5FhRs/nMF20aXxnZKEqdOcH2N8sx3fXZOFQSONfuyofx6GRtqc6akvKh4aOHjyRsUYhGLiDcQwDAkxCFPRVMDQx26vIDA0RRgEAJMmCnrsPn7LKXjxCBJ+3PDQ/43jIYwDgwCA2P3g8pjGPXkCRT5csnSI71ieAJRjoIpKdUWl+sA+pGDq6gytvaSooz1UWqqy2aJ+X6ykVHv4kDOZQDlQV6+x9PeF3z/iMJo0LAsSCaVUyfu6PRwHfT39KPYPR4WDfpVaH/Q5vS6vTCFnWSboc9ASKQtJGmQMJKSglij0ibhXAqp4zJ6EAQBKAnoOJDIwpCDMphJMIsUkAsrS8kgoZOuzF5cUD/QioFGpkQQrlWIXLBxevI1lQsLFfujGWU8/wuXMTRL65j0Nw4qFhCsn5cn1FzuvlSPdD1MgGISv5XCqH+bm81WTJRAiGIRSpO10zSUYmmr6Of8o5n/P5R0gGDTxRf76l8g09fNfGENgs6kDoAkt5w/f5T25sBsX+knBp76L+0QZndejojCbYe7hxkc/oj7HJwfCGPTUn5Gg/Uc/HeI2Jeo/9+lI7vRr1hW1nQs1NulwglWlkqYoMBUg4aLLGWlsQuKZVArKrJrKqtqe7tCx9x2d7U7WHYpGUeggg8kU9PuTCb9SpY6EA0q1Tq3VxKKxZCJOAcUwKRrkMqmBSfUnwCWN62USA83J42wIgOHkXiqhp5CsiFEqS+IhBwspCagdfe1aY7HHMcAwXCwaCjpt2oKSyrpabrg8NasuLsQKMgAgAqHcWzEbr85NEsp+Etmqsew2Y61Zt6Fi3+5MgrOx3j6O9ld9sBgryCYLg8YxB9Et199QIlKQiRrMvVPsCYh1ZFg1Nq8dm2FPGX8+T+Gk/u36EqFYKB+BEMYgABgHD+VeCZFU5W42/qu/vxfdmzbgTRcA/v28+CerU4RBgiN/GBLcNDlFtytRaOajSI/U48kTAcxAuMGDD7R/+WsoYyvRtY2JrrA7Pe7qzOkgdpJvO8f75zc06iQS6vgxd3m5RiajHfbwkqXmRIItLUMe9RQF/X3htNUOGIxqpUpx8igyWqUoylppbTsTpCW0yVyiVCn6Os4pNXqFUh0PB+NRJwuJSKoTIAUg4SCZZNwUyFPg5SABHA3SGLDSFOtXQoWmoDDoaY+Dgw3GQ8FzpsKLvPZeiUypLbQkotGAP2gs0Pz24WMnjldiJFq6zHTlB5ABxmWXTzQg8Ej7P3Pq56ad0Lj3V6ggyzYSwt0S7dh37zkDAEIYWreh4r4fLsxndKFYaEymQvl0PqY2QpkQAMxGmdBfnuQzKn/04+VjWvt84zm5A9fAF16FX07i0oRioWxToWExiBi+YGkHwSAyqzFJhshdosJIExM1G9vpb9KmPFjMg5Hys9/PvwcRCQHAzbcME8Rk2A5xPvZ0yMHRvbSG7QFXul0JcjU3DIlIyFKCoOSmoRMeEwzhcYmrPAAkk0MkLVIphWMt4owIVdWars7wQH8Y+9hje51gkNm/d6Cz3e20+yQSiVqjMppUWp3C5QiceO94NOTmWJaJhVlIJMDDgReQkRAHoJIhn0mOBmUCHCx4QRIFRkWBnAKDQb+MScQSMRcFEgCOhTgFcmYGX/EAACAASURBVAmoVaaSeMQjV5q0xgKVRhMJhRYtb1i3HkUAXroMWUljGCL7ie2myemckRLNBZkQibw88YDLIn+xe+5tFJkKEQwCgPt+uPC795zJRx1G3jekcNOHy/K3mMbIhUckPYypINQVisRjGH0wD81qDAKAvzzZNw9DY3pjjLvxM0/zX/1vuS3fz7lxj3XBbxTSj3AywzIQ8lSdVE8o4Yg5yuOUDD38bT54D0YfpL37QY5RRr108y1lQhjKjUHvHfHjDlc2DzFPOX0quGjxhGCIzHMkyRDOI/bc3yZfqC/EoLShsf74MT4DK4Y8LPhJB5LmXckwBgFAbZ22vS1kH4zU1BrVatn78aROryoo1HR3urU6RU+XLR7xp5LBRNLDgJsCDVKBQYqTIj0aneKS0J+WLhloULCQ5CiWohISrpgGZTKAAlXLlYXJmDcJfgmoaVBQQMfDXolUpVCrgl5nPIbEV13tAx538JrrF5M9zFHI4U2W464ZeGnWkxDBoCnKPoHRB/OQEIPws8QSIEwqeUqDyJsgT1EQwSAAGN9AQgzCjnUiGBKKgoTkl71eMvn5wr/yDhAMAoBnnh64gDDU389nBrBaM15d/8qPZpS1/+K/xfY9d6NwPpN7EBjKjUHCQd874lcqxa67wgaTWybpVD91V+2fHukwmoa8eYTG16Jx//IkIqePfjwT8nvbP5E/r80WWb+xeCQj62XLkS32e0dQsnf8c2UzCtvTtED7+quD6fymTosF2SxjtVRllebQAUdHmzsSiekNGq8nynEQ8McS8UQqFaZpBQ1yBmgOwpwkABSL/OWBYhUDwMmAk1HJKIvwlkbxFSXApEJpq2oFDSo2FtMWVAc87UnwyuQmtcEScdtk2oJELKrUaOQKNAeUk9UXfHdXD5ZaSWXU1svy0o69+HzGm+yGm3LZU//tr3zuORRAgeGDFQl3VbTt03A6u0lIiEFTulm5meC+Hy589JHuqUi7KMSgKV0g7lyIQSJHuWkYfX6I+R0Y0w4QDAKA/v7YTIahz3+hRqggmxTVmGivxIKrn33rvLDnvNUUBfCl+0V3TdFpPgxEBEJ4DosW64h2LM9ZkfZeb/LS9cPHV8utHcseCNsJkXqhagxjUFr23Cv82LbZkEP7nl0OAARDCxfpRGIhAkAA0NMdaTnrP9eKpC8KBXo0J46jKHGnTrrNRSiMtaVE9cZr3X09Xp1e0d/V43F6yqvKXQ43w+gBOKlMm4yFGIhQoOIgDIwEpCzFyThJKK0jQxPn5F6gGCqeji7KyABSLIQTAEooZSAW9HQy4NNI6iQyJU1LNGarVm+KRcJhn1terG5aUp92rdeVlCKZnFRKHXsfTS9PGCL7lqMgxKB97w7iZB3Zu5qjh6m4NLtJKHtHpi4p6X33nsXDfff7C0TjEgYS1c+EU5FAKMeURBiUo+X8pfkdmN+BHDtgMMqIgox4RWH6+fUvOycRgzL089NvnueetBsXBfDVH+WY4Uy4tLLZIIIhMqsxqca8XpSm4909nqYmrbkImUiPiX4+dVfti8/xqt4vf60OMwqeSYMgmSvGIKeDl0H+4mfnvvTVBiwQItPGwakxDO3ZzUfBPXuGV4HhZi1n/U5HWC6nB/qDXk/somZLMsnIZBLEQBY1y3KHDzn6erwAcPJou0qjVShV3R09sXBYrpDLFSq5Ui+RyhlvGBlHA8dJkZwpfSBrJI6KAh0EYAEYUHBp97Ewx4WAVTBUMJoMS6CAggSAjGXiqXAAgOUglYhGNAajqcSqVCEzqYWLrQ1NJpblOtrRNOrqTcfe9whJ6IPXWF5/FSUdExoJCQVCAPDi87bcYqHz0x7y+y9PDkHMIdem+GQukND2N5EDJABsuWKSA+3gbgkDkdNsGMKX8M9HH+meOcmoxxRQQLgKXBbGT8q+OhNqsGHQvIXQTHgWM2YO56UgF25CBIBEU5gcDPrx/0PdklVSFHz9f0UDzcBTLMIZlnKwndCwl3IvBGNQ7jbZV6uqVERBVlWlEsmBstuPVNPfhwInOp0IjywlSKKDYejIIYRBZVZ1T3eopxtWNpvUakkkgkIH4ePkcRRkKBhA9j0Wi0Yup0tKeM1USYlGb1AG/DEALplIuG1dCo1RKpX5vUG5QmYoQIqqWMiTSDqkoEumjKzUC3QSOAVQSfSCRFpZBhz4ARlHS4GKAy2hOAkrZ7lEmAI9ABVBZkZKOiKVKHQytVKp0qg0mosvqa+pNba3+Xbv6C616mz9wVKrbveOrtIywwM/afnaNzK5pIQMdH5Ns/v3rCchgkEAsP3NrjWXTof30H33ns0NQzP8TfH3l/j8GABw3Yf4XAHZ5uEAkFstOHOWOW8oPZ3P4pbbyoip0AU0EsLqMKwjy60ae+Jx3jD29k9mLDymc8cmNNb930C3Y+7BP7/5kwl1eCFuJposoTW0yFB6IvNqOp9APs9OcCLVZ/82cHA/knx8+FZk+C8UCIn68bhRBHNyXHu9FQAuWV+0dw9iGgCwDyKs6elGbOSwR4stqiOHnEXFPB4BwMpm43tHfE5HmCQzqKgyvn9k0FSgWrnKcuKYq6ZWby1HUhluQ8Xe3X0KpdLnGgA6FQ24aFouK1aGAiEmlQg6ulMQYCDEQYwDlGIMqBgS/yAS4uNiowlRKeQihuRDdPrdI+XoIMhZpCtjpTQUApIIJQuKrCGfR63VsCjDa4DjkCGZtcKAjYROHuvn0IEMmN58w3HFVSNmNbjhplKhWCiHQOjWj1iJgoyoxvAeCnWOuGbafs5uEopEhmQTyweDHv5FJrPY3V8aPbOYSCCU48Hs3jnQ1e6sbyq+dEPZY3/sueNO5Ig4wQO7p43aCcn/MGzSeywWOnrEtqIZWbF9854GIQn9/aVBAkOjDjTfYH4H8A5cQAASPYLcDAQABINweabD0A/+C31uCbnnnp+KljzrTgkGTe7MEwlWo5EcO+qpqkapTMd6PPu3TOijZ/828OFby3BOeyTXaQvV1Wf67O2NXn+j9eUX+n2+mNE4xLz6kvXDWxM77AiMRMfKZuPK5lXf+vp7xRZ1IsFU1xgiEU1lFbLIoSguHGYkErqrM0BRKLqNpdQcjYRDfnc8GZCplKlUIhGNhr09cXACJFmpjaMTaQaiOSoBCImwzAk77affQFSahDikeuMojuIUwEmBpSnQ0KBKs1LYO9glVxtcNmdNY7XXHcZDA0Bxia7UqnM5/QWFutIyQ02d6ej7XkJCw4a1y0E/on249SOII8mRbYdOLk1bYXaTEABk049QYEO4B0MPOcX7+/AvOvKBoVEfBs5139WOvhwwDB89YipgaFj3NIJBOCFoNgz96Q/dFov8qqurAOBT/45+jnRgCdBIjnIj3TVfP78DF2oH3tqG/uguv1L0aYQ54kJNKu9x7/saaiqMWAgA3xlPhoq8h7wwDcdhDT3qRHdsR4/eaJQvX4FspbGF0Kh3jdTAYY/gxGHJJIflOiQO0P59vMXP9Teiz+9EAv2Hr6tTd3dHBwYQ7pSVIcFP0wItSVW2eKnx1AlfaZnGPhi54iqxF9UnPtWw4x17eQUS/wSDyeoazYF9rqJirdMR1molNE2VlqnDoajH7ZVKpWqtUaUxcBwbj4YpGqRKXTzWy0EMOJpiZZwkyiE5EJvGIC4dVQgvkTsvRQR0iaMA5ByVSv9hIDCikBlRQgoaucJkKioLel0+b5iiuGAA5SBbu6FpoM+/bn3lifd7gYOaOhRYiBwYgwDgjdcdkxLj9wKKgsiiZj0JkZVkF4TcM27o+e73F+QpFqqp5/8d79rRv3Gzdcc7/UQxnG0c8P3v8vbXeNr33ie2whYuZ1gAEjYQlv/8WI8Qhv70B5Twjxx/+kO3CIayBUKzRSNGFjVf+NfcAYxBAPDWNmcWDM28Lbn3q2hOmHswqn3vgZk3y9kxI5eTj53o8yWMxlECSY9pSb09kcoqxCgAcPpUUKOVlpapbGni6e+LWstV2FUemxnV1mk72kMDA9EtW/l//pVVGgxS5iLFxWsLAHiPtupq3gzo2FF/e1solWK7OoNbLis5fsyHAy2eOeW0Vuh3bu+ubzTv3tmD3igUTUukFJU0W4pUGkVHS1vQ05uKB9KxpBMcxeA0GmkMQkZFAgzKXrGEN6OmI5wMZEmkI6YAffozTDTocwNwkXC4rLyYZTkqHc2grNzAcXDtDcvaz3nbz3nrGkwXrURree0V+/PPtDWkk4TgYSYFhrJnPM01s5uEhsUUbMEjxCC8p9k1w+61KMz0sG1GNRLa8U4mXgKOry+EIREGDTvEWCv37ESxHNZvEn//GLaf6z5UghVk2Rg0bPv5yvkdmOE7MONg6J6voB0Tcs8Pfjbpe3jsKB+ZcObnexmHNXTu7VqyxHDyJFr+uGHow7eWYQWZwx656uqSnm5kZINd4isqeXAZaQ6dHXwODYqCmlpejyaMJ1RTqzm4HwmT0jwk7gYHV9y1w75xs0UioV57JaJUSd2uSCSceP9wH7JojsQ4jlOqUFJhlUYhk0qYFDIFYSCStoOm6JSJlbkpkHEwxIBJPFL6nGXjNJ0C1DhFUUwKvFIoBqBZ5DjmYpNxlcGC1t5vV2vVtfVl3R1eluVCwWRFlV4ipaprjBetLLj8yqLXXrG//54bGVS1eIQwNOygs6tydpPQpO+1EIMA4KGfd7AsZzDIvvy1OiwZysFAay8p3b83E1rq4rW8JXI+k/z+d8/mFgvl6OQTd1R+5lMHcIM9O22//9MaYeNP/XuVSCyEr84zkHCX5suzfQeGyoSGaMdu/2QFMRWaKiOhb35ZrOS6/+fTvKXHjvqXrxgSqXmaJzD9wy1ZYjh61Gc0ylMp7vAh36rVKFzhmA5sKA0AWDUmunfRYl13d/TsacRbPd0IfbTa4ooKVctZHoNw+4H+KCbeykqkJsM89MzTfAqgg/s9BIba2kK9PRG3i3fFxxbWNbVarVZaUKjyuKM6vdJgVJ45afO6/QolMkiyVpSEQuF4DJhULBUPAlAceFmI0tIwUAmOiiHXMCQQSkt5+EJmHSzxV0M6MklaiRZnFV0phE8coISsRXKZWWcq5Dhu8fI6jyvY34cAjmORobRjMLjlCmRNe/mVRdv+6Xj/PXdn2rWewNBVHyx+5e/I/+ba68bweZeZ34wpzXoSwmhy371nD+3r33plxov+7i/VioRA2aZCoxoJ7d7Rd+lGpBt+8IF2zEO5HxyGoY2brZEI8/YbPaTxZVdNgvU06U1U+OPvu9esKzmwD70d16wr+ePvu+/8zBBjoK7OQHUNCnI6qp2QqOf501m3AzixNgAsWco/8Vm3hKmY8CQD0Ne/NETYAwA/fnAqpj2lfRLvPzzKzDGBz3/VR4+SaDr53zRKy6IiZSrFKpQSDDRVVaqzp/0YgwrNCHROngjIZHRpqcpmQ0ZCDnts7SXm02np1OmT/g9cjYCAYBAeDKvGhLAlk9HJJItNiBoatXt2Oc61uFBjDo4c6DQXGwCM9gGnQqnwevwMw7gd9mQsnHYZc3KSCCX1s8hKmgPIQFV6rCHfAQRLxajEAMSQtRCnYuUDVEoFLA8AFEUtXl5rKdWu31Tx5uvIqai4RGfrzyQJeeAnLTgNWU2dqbPdiy2HVjYXYgwCgFf+Pkhg6KUXMhKBD92Yl5pCMNULU5z1JIS3TaeTEQz62U/bAeCrX0cphbOPUemH3LJ7Bw/1pGakwmc+lyEwXL7p2p3Cxm+/0SPUjgkvTaSMV3r4gO2yKyvWrBseyQ/s9179b3xkgTVrhxi+TWTo+Xtn4A4QDML/r+c8DA2VA03NA/nqF1G/QiUXBfDTX0zNYBPqdQ4LhLIDEWH76LOn+Y/qtZek4ylPYP/q67UURWPxDwCEgihaIz5KSlXhMC9aaW0JNjbpmhZoW86GSksRGFEUnD7pH+jn3dePvu83GGWr1xQcOoAkK7FYqroG6c7a2kJY+7Zgkc42gBpjDGo5G9z+tl0igfrGQpcz3HrWVl1XEgpG/b5gw8LqgD8cCcf7Olr0Jksy6mMhxspdKMUqYqB0+EQUMYhJG0fznjrnZz3kN42NpNNiIZYBWsKg+Iq0nGKNEtCqDSadQbthc0V7GyJLrwftqrlYS1FgKdWvXIXMg44cQkoxfGAMWn2xOZHgE2XgegxDQgw6f8cs+D1HSGjYnc4feoS379vDm/j0dtorapD2lBwPPtCeTwyuH/3PuVVryw7v5100V60dPUXlOFRjGIPw3N7e1nvZlbMwUArZ2QkXHn80I4H75KenUAI34ZnOdzCDd+BLX0CTQ9+rz/ux//yhGTxdWL7CgE2F5jwGYftlobHRP1+z1zfo2s6hCM7797omDkOEfsor1Af3u3C8xMuvGPIR0NjE54VtWsDbBqnUkrfeyIhAerrDS43Gne84zrX6zEW8v30knLLZeA1ayxmka5NIqCf/3C6V0hwHNE2xLOtxR33emFqtMhiVpgJVNJrAUXzCobBcqfU6uyS0mmMjyA0eBfdh0lGC4mkeEr5DCQ8NEQ6xDJWGIWCRtkzOxdSUnOIolgYdAyHv4BmFStfZ4acoaDvnu/HW5SeO8UGSGhcUHDqAhFXYQW/1xYg4Dx103XPvIiwHEo5NZELCypdesM0KsdBcJiHh88izLJMNeQORpMH49hwYRJIKEdlPDgC6974Fk2g0vWpN6eEDNgJDItVYngufzmZYSlwvCNcxwdGFGAQAjz/aM0EYmvT4FvNBmyb4iKfk9rvvRt0KueehX07JQFPZ6RxmoOxtE0ZlxFcJDI3DSAj3cPZMcMFCnm/KK5Ch9MH9Lr+f90176007hqH2thDGIKGotbcX8Y3XixqbTHJzkdLpiL3wbG9hoUKjlUWjzOo15lSSe++Ii047ZDkdUZczvPYSayzGcix39pSzsEjd1+Nf0VzKsqzRpDaa1BzH0TRVZi0Y6EdSJZoGlUYXDTkTrIsCPZ3kWLmNAgmHxEJygXYs7UmWtWU8ACGRFscib7P0PKQJYPWSlBXFJYJkOsoid3Bv960fX5ZKcSzLLV1e1N7mQ2DU6qmsRtZXV36gmKQWwRiEbYOIdoyM/KEbS4VioVmBQSjDGlnAXCq8u7Nv/7tItLNxS/lYJUMbt/C6pI1byne+k5eCjGAQANz5if3R8/Eel64Y8n1CuMPjEAIJbxcKhABg1Rqki535DCS0TGxrC00iDAk3Z4JlYZ5FUd7p8fWM3fSmwVlvyVI9UZAJ/1+Pb9pz7a7P/ScfrhCrNADgVw/PujW6nBlHIXMRciwa9zFDAoWPe/7kxvoGnmNIjbCwby/iCaNRtnDRMM1wUjD8kwjYMAa5XYhvcAqz5SsMOYhz9RoUr9nnTeoNsuUXmZ77W487HZDa540f3O8usyqPHhkwmpAqTadXVFYZii2qY++73K6o3oCERhzHtbW6CwpVBYVqioKW00gG4/VEgv5wNBJ19LVwyMUrkhYFIQEYlSjiZH4KRZSOcxlzaUgbR2Me4iVAgn3g0lexTo3iqCSVVEtAy0CIBqWxtCHk88Sj4Yf/b3DF6oUXr7NiNZnPGywp0/d0+Sqrja+/aicZNkhg3us+VDKsHIiMO1swaG6S0Ls7+yRSXrSzaztCmbHC0Lu7eAWZ9Hw/AJBDIEQe/JFDKC+dSi0lMIQvfevbDaTNpBS++vU6EQyN1O2Msg0S2gyONOEZnlR8pGmPVE/+a4zUYHLr5wGI38/PfH5ImGag4Le/mtytvuC9uZzxicPQBV8FngBOcyHMeDrsxITasQ9cbfnna+j/LQB84Orhv3NiDEp72ifPnA6KYEiUGxVHIujvj1VUZqJLDzsNXNnby0eRrqnVdnaEVGpJf1+EolBw3WKLEkDBoXiGcPa012hSpy17oPWMo7KmcO8em8cdDQZitfUF7eeceoPS740MDvgWLrFu+8c+lcagVMl0Bg2TYuKxMMPEuDgT5xxpIVCKo6KcNJHOsIFCCqUlPWlD68xE+c8+9nyMX1rC16TnQKUVahJOFk4lHQAyCRRGgz6GiTJJpVyh9rhDFzUXtLf5+nv9LMubAbWf87Sf82ASEv5DG0nUPRIAvfAcr0a88eYZZ0Y9R2RCGFl2be/lWFi/uZzY+gDAWGGIYBB+aykU9Ofursm8zc6XiByIqMPOX0G/r76u6rW/d584al+6wjLpGCQciJRFFuLvvI0UvcIEwqSlqDCdetz6em1uGMI5pPLJJCVcxSc/XSlUkE1QNSbseb48G3eg4pM/hcdls3HmM23O0ShxwgaVCpndTvpBUn21nA22nA1ee534M1JIP6LRRwIgANj2T3sgkEwmWWywLLox9+n6jUV7dqH/n25XdM06c1dXtLoaSXRER0WFisAQRVHV1SiRKmnjcsbLytSbtha/+FxPsUUzaEOO9yzLXrSy+Mxpj98XlUrh1HGbQik1GDU1dYV7d7W/+vzOeDQQDQU0BpPfg0RZAJRUpuUkDB12c5BkQAkcA1wSKEBZxoBiGRkgJzLUd1rRK8YgdOE8EqWbYSMlLZWUA0ilYKRBHQs5pAqd0mCgaMrnDb34XGd/r7+kTOcY9PT3+ryeQNOi8ls+0vDP1+w5Nvx85yP+JhgEAC88Z5tpMDQXSIgEAdq4pWL3jj4hBo30WMgtAPDFr2Syj33u7hohCV260XrkkP2pJ9Aufez2jEkywSAcNVE0ypbLkeP91dchV/aPfyJzl6iZ6PSPv0fBoEfVcD32R9TsjjurMPpgydCwGAQA77ztpGn0t7F5yzC+FUSbiwsjgbxonlN3igFofP3PWPohQSzHt675u8axA799XPbZTyZ/N9dhCAuEYrGM/45SmfkkHse+XcBbWs4ivQ8ATEpUpG3/RLIivV529ozP6YiuXiNKxsIvdMFCXbZYyGpV9vfH1m8s6uuNEooaFYZKSjLJyNasK6yu0b7zpn3TVpSvNC0fguUXmY4ccpmLVJu2WPz+BE1TFEV53NG+Hk+hGevIQCKVafSFsXAwHPDI5CqGQaEUk8FACiVbZSiQUaDkIExxNMdJKU6G7KYzucZ4vRi/tuF/oc8CWsICS9FcoQT0ciiRa40SmUKmUCTjUa3eGIuE6fTkzpywLVqKPryKS/T1jch97Pgx7/Fj3lSKW7J0Dvogz9a/HPKghUyDK9etRyBCDmL3Q2pEt4hOL91oJS+s7cI3PvUEn85aiEH4EhELNa8eIqQdKwYBAOYhMlVRAWMQAJDCV79eV9+g+ftLg/iF6YfcdfwoSrMMADu2p4NVkAsjFH7/my78GuH6JFTX12vJaxK6m4IuhElwhOVxD0WCWJLCuLvCNz78iw78mmA/c/j23z0u+8wnMo7Qc2alRB1GCuNe2j9fsxPt0rCdCAVCwzaYokph4OwJDlFm5fNmIIvmAvngYHxwMGNoBQALFurIi4xltSqtVqWlBL1I5UiFigpVRYUK6/XKylT4VVWl+tS/86FVrOVqnNe9ebX5xpuHRHorKFTVNRYXFyMz7WgkRtN0OOAGmkvGwhRNVdTWSWVyhbFAAio5mKWgo0GOUmQwUgo50kso5EJPNF/Y+J/4jg2ZL1GQpQsyKmGgQc1CKgkeqVyuUKur6+sUao3P7bSUoWgsJaX6RUutjQsKPnRTXV1DwcrmwuPH+I+StZeYT57gy5P1D23IXC/QyVyQCQm3bsPm8t07+nD4DwDo7XTAGI2mP3d3zW8e7kx7EAz2dLqZVArF2kwfQrGQcFAAIDAEUPPknxEzjQODcJ/ZoRFxPaEfcnrHnVVCra1oSgSDRPUjnf7+N13k0u9/0yUMkkTqp7SAv42NdYjXXkHf/66+dgiDjrUTUftJASBhn5P4L0MYL3Tc2fSEc5ur5eE/E2b/anMwUCzG5ikWIgyUQ+WhUkmmAYZI+ncAGDXHxVifnl4v0+uN6y4pEAIQ0ccBwKiWSfmP2NCoffsth30wtu5SXgBfW6tubQmVl6vLyxHrNDYh86NzraHrPlTx/LM9Hne0vgG5ZZWUqkvL1ABLXn72kFqrs/e2aE0Wk7nIZNKEAsZUIqVDoX2oSNABEaCAToGL4/xpd3qappUsG0rzEE65ymFnsbTijP8LwBjEwxAnpVgVoJtNKm2ZVCGXyhQKpZqiqMqamsEBR0dLq8/jDwWDjYvqa+r0J094scqvqwOFGmpoMh1737P2EjO2u3jzDUc6MBISfY163HhzKVGQzTTV2Ny0mH725Y0A8JGbdm++rAIAhZb53a+7Pvv5TPBDANizc4hTmFBBBgCfu7vmUx/fl7bqZ2lJRmz2q4c6//OLQ2yGDh9EkZ0BhlSOxEAvv4jsxa6/QawIH/U9RBrs2sHHKNq4ecQYRVsvK8JGQstWmMYKQ2QgAMgHhrB1ziRqpqzW0b+ECSeJMQjnBZwsGHr9Vd4Mk/hKCEe8sGUhBl3Ymcz80R/5s+yuTyQf+fO/kMFQnhgkenb5wNAUGQnhmTQ0akmy6jwTqGEfyWz/AOzw1bzKdOQwL7e48gPi70guV8JsHj1pa3W1qquLt4ke1k5IuI0dHZHurpDDHvN64ocOeAb6Y+UVqngsY2XV3R0m7RubtN+8Z9HxYyiA4bLlKBY89uR3uyKdbS6lSlFoNrhdvlAIxY+mJRANemQKLZtKSWgNyyYo0HFsEKTIXPp8PCEKwxCR/aRvFIqLyODI2IuThZlkJBzq1FBVLMMUl1kdgw6W5XyuvnjAGw16jcXlMhl1cF/fuvXoA7TlrL+hCWnE2s6hXV26DCnLMAbhwhVX5QtDZB4zrZD5mJ9pM8tzPiKIIXelMYicIRgiJyIMIvWk8PijPZu3Wjdv5bVsnW18mCncgIh/MAZtubz8icd7SWIj0omogDEIAEhB1GDUU4JBjkH/c0+faTnr3f7OkImRHrZeVoRfK9LZg0m9qCA0DBKWRc1GOiVGyqQwUsspqicYNIn9EwwCAGF5EoeY3K7m2SjHfj7yOrVpVwAAIABJREFUZ9m/3z4HdWTCJRP6IQXh1YmXVSrJlGIQniF2U8/trE7WQkJFkAK+hDEIl5tXma78gCUbg0gnwxZstpjNlslfUV2twi9R49OngqdPBbu7o/jV0YFiRne2h/t6M7jT1xvFQiAAEGIQ6WrZcv2y5fqWs6Hnn+1/8vG2XTvsBYXK6rpCmVySTKUYJqXVqYwFRgBOrtImEwE2EU+wzgQ4WBgETo6c6qkogISmJVgOJMQgMkpWAYUUopK6FHhYiASDZ5Lx0GAv0qLEY5FEwCtRKAAo90C72xl02oPv7uppb/O1nfPRNIUxCHf41rYhHz2EirKGmzUVc0E75kkHbygoVIxERbt3IK/4ZJI3Lbxkg3Xvbt5PHgAu2WAdKXh0ZQ0ytevpRE995apMOovPf6Hmicd7t1zORx4a9WmL6OflF239fZm/t89/oUZoHpRtNP30X/q3v9Unk9Ed55wV1Sh2BQp19UEEakKD3GwVzLCG0sLZ5gCg3NoxEf1MPJihcFbz5fx3YKwRIvLvOc+WxH0GaTcqhnGxydEPc96rRRTCNMctY730hydkn749+egTc1kyNEEGmohD0FgfR/7tT51EIpPFS0ZJn3fyRCBbMpQ9SkmJgijIRhIIEQay2WIeN3LIGnZ0nPpj/170oVBZjRReCgWNzJrTx+lTTmO/kuOKyisyJkrC+bScDWIj967OcNMC7VNPtHMsUBTV0x2UK6RtLY7a+lLbgLewyOT1hCKhMJNKppIJJplMgo+BMAc+kMYhJeUgAZBM56VH3Z9XigmHGrac5KgIDSUA8RQKJqRnoolQtFuuVESCXhaSEgop8iRSZTAQ0mgzS2BZqKufg4bSZI9mNwl979tnDryL9FxrLi33uOPf+/aZ7/3PQrI2XNi9o7+9BemwEgkkq8QG1JdsGGJVLbpFdHrTbUtxDVaNYYvpwweRDgW7iYnaj3q67fXexUsz7gy//mUnkTM9+kj3o48g7zAA+PRdyLzu6b9koK22oUinlxcUDlEhZQOQcAKP/TGThuKOO3OlofjM56qJqZAQg37yo3O4w/cPo2286urKO+4cYvdHhjtymE+I2LxqzEmhSSf5F66+1jIVYqH8JzD9LbPzCk//HIQjCjFIWJ9PmWAQAArBkj8MtbZkMoGTr935jDjfhuwACcYzpRgUDmXUQxrtGJzwMQYBwKmTAYMxo8kqLx/yr48sJ7uAIyIK60tK+ECUJSWK7PBFNlusvQ1JdOrqNa0tQbMZNT51MrB4iZ74tFqtSoxBwm4RD1VpTp1AOTTcroxMqDz9rQC/PxubtK+9gkwjiItcVydq2dUZ9nljPm9Yp1f5vTG9Qbl4GTJ7aFpY1HLG7bK3hwK+VDIpkcjjiSgNknSKjQKGGgCZH+WkxxlYUQGHFBpWHSaOPZ2OTx2nQCEFixSMKQjJFQWpZEKh0rApk0JlDLsHDGXVVbWlbief1g0AvvJfjUI50JHDLmw927wKfTPPUzsm2rcZdUoRc+AZNa18JvPBLW+Kmq25tJyQEFGHPfa7I+jbalq6g9s/89LGBx9AWVrJkR01kcg8tr/dv3oNkgbF0kpfoaBYBEO5810LxUJCgRCeAyYhwkC4UkRC299CzLdyleVcK1LWXnMdkkht2ZohKrIcUhBiEK7MDUPkRmEBkxDGIFx/1dWVFDFKP990ybIh396mB4bODz6Zv4lSbAbaCU3mOiejLxEJjUkmJCQhHOQk94zIh5Aw3mmeJHTHx5OPPTlNYqEf/Q//zQEAsmOJ7d/H26+sXTdN37CJ3+ioEuLs/ScW08L/e9nNRqrBJHT0qG/FCvTVKH8YIiTkcCDZeUMj/7+FkBDRi4kEQsLA0MPOCv9LFP0b7OmJHj6IMowWW5BQk2FYTEIo1bwj1tiU+c9GYEgoE0I3Fiv7eiODtghFQ0ebf8kys6VEuXkL+uf8pz8g/5tii9I2EGYYKLNqaJoa6Eck5PXG+3oD7x/qTMTjhgJ9scVYWmbAn8injg943N5oOBLwuFguEQ/7YsleChkHuVm5A8UQ4mQc7UNiIZRXVZEuYKVHTlcBTk2xRopRAiOXQikNGgpkal2ZvqBUoVLHImGWZZQqdXFJsbFAy3Ecw6A+115auWy56QNXWzAMpVKZwA05wloOu/8ztnJ2y4Syt/XaK95etyETwsdslgsZqKMVWRz/+P5z+/cgqth0GZKRZGMQABAr4E9+uvKBn7SRgXa8jfzCNl9Wsf/dgbWXlmEYAoDcGIQNpTEMXX9DabYfPulfWHj0kW4MQ7hyy+XlGIYaGk2NC5DcMjcGCbsad5kIhEQ9cBwnhKFPfrqSCISOvodigs1eEsoGoEd+yxuZ3fUfQ+zuRXvyL3gqDC43keWPKhAiGNTdhb+45xUFmEzpsSdln/x48vGphyEhBh09MnjrDYNXXY3+yQj/kPGs9u/zTgMMEQzCoTTGBEMEg8g2jqNw9CiSE+Ofl67nNfvj6Ed0iwiAyNVsURC5lA4+wgvIhTzU0xPtaA8WFMo97oTDHsUwJLxLWG5tCe3f6ywtU6dSHCHyy68o7u2N2gdpjyfm9URLSnUOexR74GPnFbs9ardHly5D7Hs+bjM4nTGPOyyT0RRNxeNxjuWKLbqFi0wOR8zlDCsUMrVGHQqEWC6WSkS5ZEJJlTFchIWYJFHFSgc5OkZxao6KACc7Hzwaz1QoBMJSovNshLK3UkDFKaYQQMJCigaQ0bri8vpSa1HAH7r8g8tPHhsoNGsvXod0JmfPeIDjauqMJIDQ5VcitiOOh8Kdme3luUNCA732wwfo3o4B/AZdvQ6JTFyuBLEKwhiEH9ja9ejqsAw06hPt7XTsfxdJeve/i7hqVAYiHebpNbbjbd6vbfNlaJK3fdRKFGS/e3QN6e2CFwgsCmeCMQiF9t7p2rhpmHCOwsazokwwCAAe+W3XPAyJnhqGoTFJg3APEgklEguJeh72tKpag2Fo2KszthJ/qyECoRk7z5EmFo0y4xALYQDCfY7p9sVL9FgsVFysFGrHRpoeAJw4jlQ5S4dKpnO0F16qrdNhGAIAs1kufFs2NukHz9tQ93SHtTppRVX6W+hllrZzodJS1eIlOiwZXbBI194WUCj4j1T7YAxjEB6ordWTTCJd4S231bSdC2253PLubidFIYVaaVlhaVmhRisvtqgdjuj1N1Tu3mkPh5IMw/REAjQt59iYQl8cCw1KQK3gSllIJFNylu5HGmVKydFeABlKIcolAAWexoGFhOtLl1EIovQlRscBQwMKU0SDTGkw+z1OjmNKyiy2/gDHoUz3nR3+vh5fKsWWlmXkYVk95qrAmVlzZyXLdf+0X5v1vmPCHevtGKhp5A2ADu3jeQLbRJNmFdUZp8of35+RY5MGuQsoQNGEj89/oeb1f3S+/o/OPzy8/w8P73/15Y6Hfo5e6HvbeQwCgHCY17Lf9lErfo11ZJEQWHSaT2/f+NbwGdOyTYWaVxkJBjUI5Mn5jDKL2gjBaBZNe0qnOg4MwvORSCj8GtP0qqp5Q848VWO488eflN3+senzIzt6BMfXgDdeyxjqTYMQaEw7mX/jMXEM6ZbcRQrk0qiFxUv0+FVeriSvke7CGER4aNhm2aYCwzbDhtJkdGFcD2Ekp66ucH2DdvGSIVldi4qVMhldbFFhwRIOuuNyxTravKFg3OeNWq3qd3fbmxYiiealG5B8ZcFCc0UVUh2imNMUtbLZvHCRrqJSay5S6w0qY2GxUqNRqPVypVZjrJBpDBRIUuCXgIJmLRSroBgFxRQBSnBGpWFIkY4zBIC5h5MBJ0E1SBqkAFBTrBboRNr3Hjnh0yCLB33JeDQWCQcDyPyu0KwtKdP19fg9rpC1wmgbCHS289afZLuEtmXC8uuv2rFpAUlQTwrk3hlbmMUyoc1XVO94k1dbDPTyMWCyN/rLX6t78IH2SzZYk2mLaSwNym4mrPnh91sBoGq4XDNVdZbudntPJ1IqIwX2wgxXCXsQlp95GomObrktEwHoO988s2IliiqEY48CwBuvdl51Tc2n76oKh5lD+5Ft3eq1qMEvH+z4wpczyUCE3eZZHgf9DNvzRatKRrWYvvMztbt25hXMetgh5ivnd2CkHcDJp7COLEciqpFux/VPPCX7+MeSTz41TQZDeFCsHcue2PRQ0eYtZqIgG5NqDGWSnnBkxZXNxveOiD9Hs7digjUEg3L3c8edlcPCUGWlqqcnWluHmKayUuz82NcXI5GmOztCVVWa7u6wfRBZL8lktFRG19QgZytyFBUrUymutExpLed5vcyq8bijhWZV00KTyxkzFylpmmZZdt+7zovXFh3c72haUODzRusbzRetLCSU73FHw6F4OOhPJRlEM0DpjOZEPBYN9UnBkI4EqIsyXqQXk/iQETQKrEgBxAHoNPfgn9iSmgVg0GWOplglpJAFOgdhBV1LK+QyhU6tMxYUFekNiM/Wb0K2JV0dXmOBlmW5DZurz7V4Thz3rrq4EAdtwSYZofO28M89M3DzLeijjZhXkgIAvLWt/61t/UuXIeVAtk802bSZUJjFJPT//huJKwgMVdSUEsUt2dn9e3p/+r+83CubgXAPpDEAYAYCgJPH7CePwTXXI7uQF/92/IZbl5FmUpkkHwDC7TEGAcAzTw9gGPrON8/gS+8d5sMkkp5vvWH3+k1WzECk8oIXBGKh4eVDF3yG0zmBee3YdO62aKxxMxDp58mnZB/7aPKhh7jcBiWk/bgLK5pLiFhI2Mn0AJBwxLECkPDecchyhLcjD4/mKXcjXbpML4Ih4u0FAEKhjnBuwq+I2QDU3h6pq0OIU16ufHcP/70X315VpbEPxsor1JhaOjsj+HPHNhCrqNTgWC0lpSp8+9bLijo6Ilgv5nLGbAPBaDR16oTS74/jTCBSKd3e5r10Y7nQ676/L3xRc7HfF7VWVQV8QY7jwkFfIh6TyeUFpcu8ttMpCCC0gbRXXaKAU9hQmUtylAwgBaACjqI4NH+O9uOgi2lzIgoYlLwMOf6DVVdckYzH0iGmUcvCIi2XtoQ+c9rjcaE0cNh2++bb6oh7zN49zr17nKFgonl1rlCK7x1xr2wufGtbxusZJ5KayTA0i0kIAP7ffzcQmvnFz5A72PY3eRf01evK9+/hM4XhdzBNU0QGI/yTyFH+9c8OLFpevmBJmVot2fF278Xryp5+YcMlF71w6hj/jD//ldVP/rk3O6g0DrR46ABSpa3fyAeVJjA00oiXbhyDb/9InVzY+hluG0Qsrm77aL5bfdd/VM9rxC7sm2oSR3e7Esl4EkA2qpPR+AbFzmLYbvpvL27A3qDZ5tLj63z+rnx2QIhBovZC+hFdIqft7ShMIgBgGGprC1lKFPZ0trLSMmV9PRKcyAQ554cNo4X1xViEqVRJNm627Nphtw0EFyws5DiwDUQOHbBt3FKOHdEZBpgUb9T861+eLjSrOY6zWtVSmWTJcmtvt5dBCZ8s/b22UMAbDXkooFEyDRRMSMpBCCRJJAcCDjglcqinYgh9WA1K0UolKU6RDsAoAyoFnBo4BQVqCeg5AKVaI5OjzBtl5aUBf/Cuzy3ZsNG8Z7fnzGmPuVjvcvq9niBFwdbLirA0aO+eTDTFI4ccBIaIWIjsobCABULCmplZnsVe9NkbSmAIm0vv39O7ceuQyDc6HbJ0/o//HJIcg/RDBEJYJoRig7bbFy1HZss4tern7q65/wetJ44O0cT99fkNpAdSEJKQEIZuua2MyIQAQCgWuuqami9+pfaXDyJrIXJMUDVG+pkviCIzYVP0+W2ZjTsgDCI11hQrGIA++9nk736HdGRTLRmajds72+csIqGRZEIjLZOQEG7AceyeXYgA1m9EZj2YhDo7eVoindTUqEURJUisRQDAssx/vGyzDaAbnc5oV4evqFhVUKi2DyJfyAULTRwHJ0+4CwqReKajzWMwKoot6jOnXHqDorfLTVG00+FzOwbjkVDE18dAVE4XMmwkBh0ASU4a4uho2rVembYQQu5jVNJIAc3K0/hCJYGTUQkTjTK56mVgoECuL7MaTIWLl9du2FSRSrGf/XzdO287//FSV3+vH/sFW0p1tXXGlasKsAk5JqHFS0wH9qFPQEJCIu0YAGD32y/ffUSEQXIFr5/J382I7PBUF2a3TEi0O1/6ah0A4J8AQPRiAHBoP1JFbb0CKUF/+6vOkWBI2GF3O088bWftsSgfQlTYAJfv/0Hrf3+nEZdx6gOcwX7rFQihhAfWjv3gfxcSGFq5qozAEA6QPY8+wh0bX/m5Z3i1I/4THV8n83fNih147RX7WGEIJSL8newzn03+Pg1D41gmDkAMAAWFmaB/4+jngtwyEY7MnjDJF6ZWjyFwYnY/k1gzvkTOeAItZ0NS2RAvIoxBKFXlLieGoWNHURBFABjojy5YxLtWER0ZviTEIJSII01O1nK1bSDidKJcZqsuLg0GURjrBQsLALjBwVgoGGs949AbVMFAtL6p2O+LmQqUwMHON99PJWPGwiKNVo2UXVKp1lyVjEZkSl0s5FHGa+JgRyGnpRxIWIpRcRRDpZRpv3oUepFK6JGISJKkGCMAIwG1DIwUyFlAoiONTut2hl567mxhkTaZZDs7/HX1SJt58mh/gRkZTq1chVKMbdnKi4UWL0GBANass2AYwovFP7ODj4gw6OD+wfWbeGPZJx7vnWkwNOSpCxc228u/ebjz4L7+g/uGqCrJon77KxTtCgB+83AnzjwPAPfcywMN8tsKJc2WgkQ8depob3kVHwYDCzOXrrAsXYEMpUkBdyXKAPXOm32r12SUqUKLaQA4crAfvziWW7mq7NW3LsOdzP8kO/DaK3bhf21Sn3+BIFH+t8y3nNs7IBQCCcv5r5pgEAAIy/n3MHNaTvDvi2AQAAjL41vgsaN+/Brf7cK7sBzIalXmLxBqORtqOYucpzo7MhHM21pDdPpwu2JuVwwLhMhAZVbVrh32/r4ofqXOa7hErpQHDzg7O0KdHSGfL15sUS1eUrBmXVFdg7aoWLliZUFJqYrjqFAwxnHg9fgcdm80Guvt9gT8kbZWT0dbvzydLj4UCHhcHhRTGiAe8aai4VjYJVOqteZqnISVSqmplBYoluIkFOhoKKJARYGeQtyjphi9AsplUCoDg0ynUxYYZGpdKhkf6OkO+JFQKr1wnvDq6o3mYl15peHmW5GzDjZ42LK16J57F+GWGIZuvqUMv0ilqCC0ChJikKjZDDmdIzKhn/9fJmb0V/6rjsANABzc14/jRJEd37sbyQzwz3XrEaXi9p+7m9ea4QweaX0w+qLT3mKraxInkMcwRPoUFppXW7BYCLmArSnOhl9TofzyD9a89Tqiscs/OLyqTtjhxMvb/plx/r/yAxk+E8URIEZXEx9xgj2Q/9Fj/dIvop/cOuwJTnLSb8cJiQBggpmkJn1iM7bDcQiEMAA9/7z81o8k//bXafUjm7HbeMEnRgQtkzWT/BlINGJFhTqVZJsWIHugtlaeioqKkdJKdNgG+Ez1uF7oRLZosQ4bCR08kLGtQWk0Fui6u8K93UhHtmFz0a7tjr4+BCKFZvV7h/ppmvZ5/MlEPBwML1xaFfDHvC63TC6TKxQcx/k9TrOldKDrLE3LQAlsLMVJWb+/hQYlAykZlHBMEoBlICyDwhQEKVBwEKdAI0G6MCkFMglI5brCVDTIJOM0LUslYlKZ3GDUmgo16y4ta23x1tQaOjv8NbWGSzdW4mCnIrvPHHkqRZuDTwkMEb1YdrOnnuj92O2ZYMjZDaanZi6QkBCDAODWG3bjmIRbr0DRXd95E8XzwHoxAkBkc/ftGcBK0PWbkAktFgtdd1Xf5suRgdGBvWh/ejrsJE/ZkQMDzWsy/vAAQFRjuM93d/FSqL5u5E/+pyfXkbFEhXwYaBwWvqJRsk+3/dMhhCFhgx/ff24SYSh3WlnhuKIywSBR/QRPsZX003/pz2Eufehgxul39cVT7vYiXBHBoHRqF3YehoSbIyyTfHPjwCBhP3/7q+yWjySfOQ9D77+HvhNftBK5KP+LHBPcwInsEjbYGtZU69hR//IVY34KO3fw8Ts2bZ5oQNdjR30eDwo91bhAa7cPwR3RkuvqkXYMx1HDMqHNW8zd3egWjVbKslxllZYEZsT3VlVrsNNZPMaq1DKfFznk63T6UDCmUitMBbpIJG4q0AT8MYqiUskYACeTK1LJBE1LYtE4AJeMh2iJnFZKk4mQhFYCy0rBlARXGokSFMg5SFFAc8ikmgZIcSBBQRQpmbqgLJmIKvXmeDhQWFod9Lo5Fs4cP11aUV5m1TY2mZJJ9prrqk6f9N39Jd5NGIdg2LzFjI2mx53Y4PZPVmDbWbwJWDrw1BO8SxMuXFgempXasZ//X/tN1+4grz07hviIid6sW6+ojEZTDkf8jVf54EMoqtV5L632Vt4YaM/O/l89xFsrYwxCSVvjbHuLLZlkMU4BwPOvbBaij7AsGre8yty82iJSmYna5D4lGJRt7Zv7xjyvigRCed6VZzMhBmEXyjxvnGAzkW2Q6DS3obQQgyY4jfnbp3QHrr7WMimf4s/8Vfbhj6DPPIxBwsJI8xfaBgnLI7WfafUT3LdwiCF5VYW2QYcPeXftdOHXqEsmGJTOWorMZYTHRDAIAAgSCfvMv3zsqK+ikg8FNGiLb9iEDKU3bCrCBQBYvsKAXx+4uqS8Ql1eoTYXqWiacthjDnvs17/kUzP19UYO7ndTFGUfjBx7HyUgEh7nWoM7t9s72gOFZrXXE335+WN6g1omlyqUMqNJo9OrKqtNeoOydkGTXKEwFRqUKk3dgiaFEoX/kcrVtEzKJONMKsSyyICVg4QUDCkEQzIVVFIglYIOkEwowkGMBrmUNlByaSoRYxJxpdqoN5e7+jvikSCV/vx3O9x7d7V1dwUwAC1agr4BvvO288EHUFw9ACAF5J39zhApl3BRuctEN0IKudtP89XZJxMSSYDwfu3Z0bt+c8Xe3Uge09Nh3y2BDZt5g+Vtr3VdtBrpti5aXepwxEPB5FXX8NmjCAbhTnZt70smOZKCY/f2IYD1zps9WMj0i5+1azTDmAfe/aXaW2/YReysq+pGD7o4zQ8bDzeSQGjqJvP2NiSW8/nQR87XvlE/6kDkS/+oLYdtcPMtZVhHlo1Bw7afr5zfAeEOvP+eP7dkaDYCkHCB44YhwkDhEIPTqQphSDjEWMvLVxgmXUE2pjlgdRiy/UpLg8i9aZ0XgiGh8otcra5WdXUhCZC5SEkqcaGvl/cvW7GysK83XF6ubmzSvvE6+uLd3RUsKVWXWdUH9w8UmtXhUFytVgEF1nITx3E6vWLhosIzpz1GkzLgV9Y1VVdUFcjSdtwnjlKO/m6dqYxhkhHGxVAySARTwEmlakhRGuVChcrEJBNUSMbJUlRSmgKaAhkFMqA5pboolYhRNJVKxiMBRyoWlCoNyVg8lYoZCgpr6ksH+oMP/4JPunDsfQ92Hzv6nmfFSmQ0DQDH3kfJg5dfhIymx3fMTAbCa5mVMqFhhUAYgzpbB5gU03Z24E+/Pfj2th6CQdlPDouFquuQ0UxH6yDJr/vgA+1f/TryQcNHRbXlltubAeDiddbPf6EGO+qfvwii00s2WKvqLPhF2mQXhP0DgOg0u/3Eawj9kAKOxjTxnkftAWMQaSZMZ0sqswv4S/+4v/oLTfnOnA6SV/ZAwpppVocJhxbZBs2rxkSbM3Wnz/5VdvNt05eFY+oWMtU9HzroO3IEfRbig1DR+YrM7/EFmieylkxHM6NUU6POxqD+/hh216+uVtGCT9GLmnluEM69vELT2KQ91xqqrdMM9EccjqjDHnM5Yx5X+NxZp98XZjnWaFLFosl4LFVZZQyFUg2NJrcrUl5pqqgqSMQZpyOcSnHBQKR24ZL6BXXWqiqVrlCpM0pVGgrS2jAUT4himARFyzlIypR6qdwog0K1plKpsdByOdBcPOxIRn2RgEOuNKiMVoXWADSotAa1VuV2Bttbba+8hKL+tp1DT7m9LWMnQDBIWBAucA6UZ59MKHvTOY7r6bBTNM67C5W1JbjN6rVlO9/mAy2Su1as4q8CwEfvWIHrUykWJxSTSqnVa8swDBFfAIxBpIeRCjdesx1JpNKJybCF9e4dfX97ceOw7aeBfsi4b72JzKWFDEQuiQqTaCQk6nm2nK6+2Ih1ZBeEiuYB6IK8T557WnblFakf/5j/Z5hbIHRBZjimQafCS4Aojo8c8TY3jyIVEJnZZk++0CwnCrLxefCJ+ty02UyUYhO0E1p3CVrdvr2IBnAZj0XCFAm99Pv7Y1ar8pbbynt6ovv3ujUaiccd97jjS5YZ115i7mjnDa6t1kwSj/JKNcnwuuyiEr8/EfDHE/FkoVllKlBaLJrm1UW7dw52dwUDvijLcA0LzCeP2apqCro6PIl4XCaXanUqp91tLCziONZtpygUVxrYRIKWyCUSOU0pdJWNLMuGfDYALQovRLESiZICWiLXImtrDkxFJQGfp7KuNhyMRCNhiqJ9XhRU2lSgfXdXr6VU293lv+HmmuNHefBdsbKA5JRcfpFp+ztOnHND9BTGevqx2yuIqdCFNRJKZy8Z6/RnQPv1myuIWKi7fbCy1lJZa6EldGcrytg16vHZz/PaMQD41UMdu7b3YQyqabB0tSNoWL12iE30qB3+5uHOt7f19HYhBSpFoWCV2N2M2FmP2sOwDfKx8B32RmHll+9+D5++8nLfgw+vFF6aUrHQnZ+pEpoKNV8sdr4TzWTmnI6Dgb7/3bPC+d973wLhaXZ5MB2yFgBKShTZV+drpn8HtIX6i1bOUD8ylzOe1r+M/lYhjpNTqh3GMIS1Y+RJbdxkxqKgjZvMPT3R7PwVpCUuYAByuxKThUQTBCDR9IQMBAAEg0TN8CWrVZleb+GJY76SUgQ9Lme8eZWxqkr7woYCAAAgAElEQVTV2oJgaNhUwSWl6q5O/+atFfZBFGSoqEjFspylRH2uFVnuez1RrY5o3Ci3K+L3RRLxWNDvd9psMrkyHouE/M5UPKLUGhUqXTjgVusKZDJlIo60dfULGno6Vc7uVpOlMh6N+Afb4kApDaUSiYxL59SQK9A8NTr14uU1LMu5HIiE0mZbAYZhi4p17x12r1xVePK4D2drwZk3cJtJwSDc1cdu5y2psT31BVSfzXSZkDDuM3bs+sr/Z+88wBupzoX9jYqrLEu2ZctV7vb23rx96R1CYGmhJATSLrm5fxqXXAikAwm5uZBAOoSyCyEsy2YXlmV7tbdX9y5LtmQVW7Zkq8z/fDrjo/FIlmVZ9sqL9eixz5w558yZM5Lmna9+t+ilFxsoDOUVojnOyrW5Rw4OCx20bGVI6RS++URhbKxozy6muaGLYFBzQ1dAEvr+k6MYuJDkrJjGrwA1bhWrs2mMR3LVw/sbxNFp1AF//39c2CTS8vf/1/SN/4ik0z795QUAf6Mc4kJJzINGnerUbSDAIAB47pnqIDBEMQgA9PqBaRiKhkv/r03SO+5xfrAp6mCIYBC5ufJzoYexaNWXuLtd+YxhGdRDHyo+Hu8XIz0qEAZqbcU7cSgwJDhut3EwIvIhwbAR3+RTkbYdT5ZoD4yGAYJB/COSjF11tbaSUllJKSrIMLd3QaJGg0bZ6RnIOrl5CVXHjCVl8uqLyECxsWiEmpmdZOrut5hwfNRY1eitZtPggN3WowMPeDwusSSBYUSS2ERHnzkmDi8oy8LgoEMaE9vfa+3SGwYc/fFKVY/JkKRUJabmDvRbvfsdIrE4LiFh/pKyxnq9XO7NOJaWMDjgytUo2lrMqWlJX35sDjmoVMosWKQ8sH8Ck2rzHcoA4DJGXIxqEuJjEADcdPVnazagYzxR4nznu2jNQ+1OVqxC9BGIheITJCcrOUHRQq9YIuAtijAQufwAQMwACfo8/wv0BaAY9O3/KuLbBn37v4bFLiIjtDUbcvNVAwPedHZ00PEVfveSLwsHiUY9vvEi0JuPQUGG+3/fL6bXKESL6SCjhbFrxsykSxd7u7ocxSVJRJodxiDTXa74Ffhgk/T2e5xbog+GIrLyFIMAoPpSb9gwFPpkwoCh0Ae/jC07tEgnWUMKr74+Z2ODs7AoSa+zC0iIcA+ZKoWhklIZFRTV19vOnrbqdf3XXJfZ1NhXWpZcUJjY3e2MjRW3t2GcIdaDaVBjY6WJsvhObb+j38awksE+a2yykvWwLsegJC4uQa62WXQikcTlHEhIlA8ODgDDWkyYpt41OOAc6DG198Yr0pPT8gBYZVpafELssopCbXsPwaDaS1p5skyhTGhrsaSrkzT5GL/g4gVLU6P1zrt9j80RlANdxmsX5NBRTUL8eR/e7/PkGinszYpV2S6nm0qDKo9oY2IkJF+vvd95slK3Zcd6/pik/Ojj+X96ucpsQL2YKktdMmOYHocyEO1IYCigvIf4iy1dgco1Xgp32tVXEAgSAvIZbc3HIAD43UuNUQJDdIbBC6H4iwUfYZx75clSeTL3uD8NQ+NczCu4+5ZN0tvucX54hcLQeC7cSHKg8Ywp6BvNAiFqG9ShtWeoUZDjdrN5efG1NT3kLBobemfPVRw5xIlPZgxl4eCf40cf6unmLbept2/DR/S585PlydIP3m9NT+dsia67IaP6kqR8RlJdrY1l4XhVJ8uC1WJLlCfbbWa30xUjk8vkabYeQ4IiBUDkcvaLpTHxiSkJMrlzYEAikWbmlOm1HS7noMdtdzvsAKy915AoL87KVecXqro6e48cbDR2drEssB73/CWzvIawOeUzkq+7If3TT7ouXuBspc+ftcyeG5mYah9+4DNcue2OYXdYuiaXt8Czer+8E/E7Ol8gRDFo/270xwYAGguH3GUPH2g/fKAdAGJiJUlJ3BsxaOgVnyC95gafedBQNf7/yY9rcjQqpSpdqUp3OT0V3qjT/Ab+ZT4G0cjUtNnpE52nT3S+/rdW8qb1tCDAIKJPoXsjWygtU9J3ZEeeHi28FeCrw/jl8Eab7hXZFSAZdSI75qSNRjXU5891KxTSXTvDDP0SkQmPairED6sYCga98Mt6+o7IDAFAp3N8vF1fVWkh75GGbWzsHxjwZGfHZajj2lo59/g9u32B+1HnpYmfMVNO3v7j7B3e+NxZDqFqq3u13jDTpMvxKuO/P9K73WxNdW9BIWrQMjMx2jX6lsYnyFMzpXEJ8pTMBJlCUzw7W6PJzM1NU+epMosSkxBZWO/LYXfExsUxDIqURKIYcUxSTHzS4EB/bKzU0GXTtRtFjCg+IXFwAFOPna662NLUWXW0vfoSAtA113EZCL64EVUu588O8yAjMxnnXz4VCQyDBJvjPNCYuvtYYUzdJqHxU0+X8mGIHJFoxwRHl0g4r7Gqo7p1V2Hc7oP72letzWlp6OQH9Tm4T/vNJ3ziPjLIT35cAwDzF/so9ZN/N7+/bZ3gEME3KQx9trN16YqsjIiawe78uKu2BgNzlZYF8M8MPjFiFUSshSJrIUQMg6iCjP4EB5/PFbn36WfLBWgbXMI3bSgdzR+DrZult2x0frQ5WgyGxmob9MW7s3btNKxazXnI7tppuPpaDIdTPiOJKsgCqsaOHvF5yC9fMYp32EhXMBT6EfQNhYG86bS5iIWk+wu/rP/eD0cx3BQcyH9Tp8P4zl4zYUdqGkp6qiot/tKvxkYOfRob+0mGDQJDmV7jaJ0OlWWDA6x/PCRiGKTVYneSvMJ/Dmhm5GTT0+O7unCcbmN/e1usx8MSPCJBfYhXl8PhYtnkOQvKL51rmLeo6LYvFG/7sMHjYVubjX02e3x8gslotPdZZcmq+EQ0vu7rRYiRypJi45NlcuX8JaWN9bpBhzNBFt/e0iyRxtp7u6WpmTaLUVOkSVejpdGRw6YVFSmLlnBBuufMwzvOqtVjvu8AABWA3XKbmo8+/itwGemHP5noJSH+LIOUidXOmvUIQEcOdvzjz8cLSvBX4OC+dpOhi09CAPDHP2CYaY/Hm8gOgJ+RnsDQ6eM6PhUFOa5gF4Eh8vf1v3GCK9ombEMZfr6w2hoTH4Z+8wKXam1Uh/yIMxA9r6kCQFS4DQBhJySiZ+1f4MPQqBjk3326JqpW4KPN0ps3OrdFDQxFanECAlDAwY8eMY8KQySnBJGFBBwkgpUv/HIYBkVw5DEN1dbaJ5H4tCgELjMz41ua+wuLUH5Tfak3TzMsQ5k0RsQwjF7n6O7Gd2pqnGpIC5abl9jWisZAGep4g8GRnoHasU59n8gbDiY3T1Z1rHPh4vTBQfedG0s3vXkxIZFNU8kVyvivfgsf1ItLZH/6++qXXqxRpiTU1xj0um5lmlKuVJgMRpOhe8Der87JM+r1LOtxDjhS0xFty2dmnz3Z3G+zD9rt/VZTRl4xABsXn7dwSfZNt2J2qW0ftl0830siCd14C95Sx4lBBIluuyMzOAyN6SpMUGPfdZ2gA4xnWJocvmINXhW+QCiUyDfKNHwYoi+xNy70wX3awwc6SPpVmpGetgkPg2j3gAU+BvFNvAM2Dlh56+1oJ05fT3ynkGIQAPDLtM10QbACJDH1RGAQOdDTz5aTt+C405vTK3DlrQDFIIyY7E2zNfnn+KMfXCTv8Rz6zClLfV1PfR2nq/IXCAkGz8yKp28iaROLGYJBZJO0pwlDKo92d+pR8pSnkZm6OUewW27jJHa5eYm5eYk335opEgF5z5jJCWBaW2yLlmQUFcuyc2QFhbInn166rCJ3yfLsb/3nbA/6jgExu/7Od8uysmXJyoTSGTkADAAbnxAvVyhUmZkOu72gtCgmNq5s7lyPh73qWryJzF2IJiLS2Lj4JLSMVmWkqTJSPR44d8a87cO2wiJUsRUVK4qKFTWXesPDIMGK+W9Gp50QBr/xn2sU1lDDIDI3SkJ33rKXZNgAgB4TapEWrZxN2jTVdbIsqynCj11bU9fDjy86uM/naV+xGu2aDQZh1hsA+J8fl41zBahY6KFH8gQkdPSQ1jnoBoCFS3ECRw+iedO6q/P9TbMBgC8TotERA6LPqJKhcZ7RdPfpFYiqFaDRa/xnxQ9/LAh74994pJqbNjr/HUgs9N/fuyjo8vMXZgpqLvsmsRAierEQJzMm7ZiAfjQazto3xGOF0UwgFvrs48bFy7h8SmS0n/5qzFfh4+0+E+auroEHH0a5CP+1+R3txnuzqXaMvwsACgtR/PPpTi5zJQDk5ydKvGkxSEuRiGlusl04h1qq1LQ4o8E+b0FqTi6uVX7+MNHRZ7u6MCNHbmJLs629rY+Y+yxekq7JT6ypxtgHRcWyhnr0wO/QohjJ63uPbvleJMIGRw/r1Jmyvbvq3G62x9qnzkrtsfYxDDJTSqosLT0xK1vucrnPntJZLf0up3vx8gJ9R6+p2zZjdmZsLApEiktSycj0b1EJl3+NhBQCAKpspW0CFqhqjOyl5BewcZRUThkSCrheL/6qftPfj1sMnMU+IwKRWJySrioowSBDHg/bVNd5/5cxV8axwx0CZS0hIY8HPt2BKjPCJRHBIMFU+ST02m924rciA63SMrJSBgfR037d1cjpp47rr7sRRV8A8PBXfN9JCkM0SPQ0CQlWOIKb/Iy53/p2YQRHnh4q+Ars/gzNezdcNUyOO1IXfj4HQURjPgZ5U4IHSBE40rCC+hs3Orf7wZA/CQFAFMKQ4FwA4OQJzvp14aIRHYJC0YuRkfkwFISELGYuk4lCOS7TKz4J+WMQAIRBQjRwNjkjgUBo8zu+x+aN92Y3NHDWQkVFwyCmtsbW0sLRSUASAoAL5yxpqji9rn/h4jR/EqqrtTU393V4zYk6tP3z5qNYqLUFuScnV0ZgqKgY7aalUmb3LqS35iZrhjpRr8M2uXnJeRrc29zUOzDg7tD2Ogfd6iysOX9G32PtRxJSJWLYxiHjawC44aa8d99B+4ryGZxNWGtLX0EhCooA4PBBXZe+Z9ZcvI1efxOGp3E52RPHu8neefOVfX34MH/nXcIQxB9vRy68/sYMCkMTikEvvdhAgumQiY3nr/jHP/7xePpf3r4v/PxMslLWpR1ykWBBoUrLL1avXJPT2tzTVNeZX5zR1tLT1tJDlK8sC6SAHyBN0sF9HbmapKISRVdnf7exf8YsZWKiZPGSEX8mwjjZ373USM2S3vpLlddcHxJkyNr2/kFlqmzVWhRanjqOn++Gup7iEvwsnj5lnb+Qm0ZRcSJ506OvWJlCgsHTGgwMvzIcuzb+CNNlAKg85rMbfemF852d7qXLwrQejZL13L6ts662j7xLSjk/FMHc2tsdPT0u8pbLL4PtIMEgjAfW1E9cZgQzFGy2tHC3Ja92pl/De8J2Dg4TcsfE4POurdc1OOiJ8T77CoYKsnn/XeIbNjofuMvHUgExCACu8lolBxkqyC6dzmGzuZKSJnbZKQYRh6neXld392B3tzCYIblPB5kt3WW1Yhb04HZCFIMAwOHwxMX7VpKOE2Jh5aqUlatSDh9EqX9qKier4PfdvcsgiWFaWvrJm/+R4Dfjlzu0nMU0qeSrzvkYBADxCb6rk5LiQzqiomps6LP3u+397rXrVPxAstp2e54m0WIZTM+Is5gHHXaX2w3tbXaWBQ3PnKjbOGi1OpPk0iS5tL2t3+P29PY49Xq7TCaVJ8coFDHrN6gyM+MsZicRMnk8rNUy0NpsTUiMSc9I1HX0AoiSFTEKZezXvlFkNrs1BfLubjy1rk5bQmIMpo8tSmlqMKWr8euv09rmzE1TpcfNmpPSUN+jUGLs8ksXzR3tvXa7R5Uef/ggerz32QbSM7B9fV1vcam8qpLDIExHv6utbAbebi5d7J05yxelk2CQt0vfTbeoy8plNK8tf9kjUn7pxYaj3owoRw+bjx42r6gY7+3Pd4EjMr/JGeTFX3EGdK2N+rxCtULle44kSccO7W9vbewSiZjWxq68QhTALKvIOna4o6FGx9mjFaQf3NdRsTrr6GFdUx1iLEnFeuSQTipFT7Qvf9UnlQnvpGgQIKlUtH9Pm8PO/XAQgRB+TLU6dfZ4rx+Z27RqLLxrJOhFBUKH9vseB1/5Hca0/OYTV4J8aPu2Tv885O3tw+4HgjWZ/M3dnxlClAyRufFlQsRNctCrff7q45yjqK2X++rZel2yCQaOMS0X9V0idJKZSbMrjGmYcTWurbEFzAUx6qBB5ECj9g27AfEX+9EPhArK8AakSQaDBM72H7mhoZ+KhUrLZJve9gW6EzReuSq1pcWeXyBrabZlZSeIxaKuTh/BCxqTzfR0LqdKVhZKnkpKkwhMXLrIxQfPzZNVHsUbVmoaNsjJRSjMzUvE5JsttjOnrQ88qKk8Zn7gQc3xKotIBJ1eudH5M/pZc9X5BfLGehQmNTZYZ8zCJ+1bbtecO2O22z35Bcn5BcmtLbaLF5A1AYAIhEiZ//fi+SG5g7f2/fc6/CVDAPDx9s7rb0SR0kS8XnqR8xaK4OBTj4QoBpFVaG3UM4zP7nvdVbn/8Z+F933xQH4xXoamuk4KQwMD7ru/xCXe2r2zuaNVKxJz7vcoWmzoEnv9Avbv7VizLuuvf2oJHYY+eN8XNuqOO30O+fQ6rVmfu+vj5tvvWbBjy3la6eWzEVOC0IsdUPpH0IeoyaYxiL+k0+WpvgJjwqCAJxsTIx4cdL/+t1Z/r8mxwtCOzdIbNjp3+OnIAh53/JUnjvvCtyxaHEnhNH9uMtlU+tkPUQ3HP0EA2L/PyEdkwV66KdCI0fogBYpBpA11AcvNSzx00LRyVUpTE+IOSV8/OIBapMFBVtfRT9UR6sw4AU559QB46fM0SS4Xmkx0aPty8zgM4k+mtcWmzkxsarSeqGySyTB9/fqr84gqLU8j+3i79sJ5a3FJUuUxc/UlK8GgjEw0J3I5Pfv3ILRJJCJ1puzfW1tuvk2zfAU+ilce5eQ9116P9yOSQgQAamu4T+O69WkuJ7v57Toyk/wCTonGn9hUL0+lr4T/WjMMWIwGRZrKYugmkiGJhPnDy00kewYR83jtqbvcbrZiNVrY7d6JVkHkVX2uvXyOz+yuqa6L2I+TZDGhkNBvf91w4ZzxxluG+XYNDR/gf0ZWSmcHB91f+toG2mLBYvWWd8+Wz87cvxftmebM48JbAUAQVeg0A9EFnC6EsgL+AiF8rMyJizax0KjnEvAmx8+yFxMTviJGcPQdm6XXb3R+PFkwRI9+4rglgjC0cJGCKMiIkRBR69BjTVBBoZRSBdlIdkK9PZwhEQC88Xd0H/GKYFGeR8TqZrPj4a8I48D5T/inv5oZxHrMv33wmo33ZlMF2cZ7kQ+onZB/x9y8Ydo6wkAAQLNtaDQJ2vY+QxcSUoZ6WGMyWne3kwzS2tJH/M6KimXlM5LOne3Zu1vv8QDDoOCnfIZck48Spq5Om0wWL09OEEvEly5aZsxEaG5s6NG2o+iouAQ1Vs1NtorVOYcPtHfqbKlpCXpdL8Mw3QY0aVJ7DYZILOkVFSk9Q4pOMpkvf1Xz1z+1eCPY4bDkPuhysXfeXXzyBDJTWbmPhAIKhIipkGChtm5BC5Bbb+f85gR7L/tmFFlMP/s/wxJ6AwPPPBcgp/ftN+whq9bWpLcYDMp0laY48+yx8wqV6qHHlhw+0LF6XfbhAx0NtbjuFIYWL0PbLj4GoX5Kh9c1Nk5qMnSnZaS11NYnJiuWrsbo4wCwvCKTn7WeVNKMcZ9+3LZwMYqdLpwzNtRisNGZc1Ea9PKri0lLqh0jm7s+bl7sl+KexJ55/hf1VUc7rr4u79gRlC3196Ewf1nFMGO0gJIhMvL4/9LvPACQr/34x5yiIxAFGdGOrVrrk9iNpB0jBluCzNXRdu7bt3HuLQFJiMyWwFBOzmVQ0ERqufgkRMYkMiGqHQOA8LRj1210fjJEQv6mQuMxl6YKMqIa48uE0A12wsRC3id+tLcNTzUWqUsGAJSEfvfbhthYMUny6v2txqhsdjv69i5bmU1giKrkBAoyai4dxKMwgnMWDHXIa72EicBXDbN2oCTU3Iz8kZeXUFWJzj0rVuKNgy9bem8zp47PyUWdF/k9IRh0/ixqo9JUWL9sBXYsKJT96dVLJONHlx4vYkwMk5aO9MOybIY6McMbmqi1pVevs+VqFG63x+3ysCx0aHu7DX09PX3FpWp1ZmJhcfLMWYply5Vbt+iJ+xgAXHeD7yGcf5ofbx8WUHv/XrxVkfncdscocEMYiI4WERiiOhMy7Pjvj9FCQnwMOrSPi0y4ch3KWvg89Pwv6mnmjbYmL+sUZ7Y24Q99YWmmWMypyVoa8bK119ckyFOXrJrl8YDD4Wqu1+su1Sakc76CySkpmiJkF7kiprEWRzB2GlVqDK9JXM/8SYhiEDpPfoySxoWLM7a+zymtCQnNX6B69HG0MRKQ0BPfKbzjRo7hAGDBkkx+CL7Xfu+TVO3ZhSMHIaFNb/usWEim+rf+wemq7/8S531GP3ajFvgYNE1CdLmIeRDZDI5BpE2UwxA9ryu4MBIJBTzl3h60UQ24K2DltRudOwPB0HgwyP9AfBKaUAzyP/TlqiEk9LvfouUHScMeHy/5+2tViA4FeOPnwxAloQmaLV3/SC0+gSFKQm1tXsVZYRIfg+pqbTv+jaoA8lqyTKVQoK6mtqa3tcVGSAiftGercvMSS0qReAgJ6bQoAfJ4PPMWZh492FRSjkSSnpHgsDs1+XKGYZqbME5SSZnCYXdXHtVlZsk6tLbG+k5lStItd5QAgKl7sKTUJ+DxZxRKlgISIvnFTx7nbIaWLFPdfOuIPDQRJES0JWTFxo9BqDQcWv9o+U8xiE7o2aer+TBE60mhuV7HeINy0vrmhs7CkowTRy4kJKekpquqDl2QK5S5BekiEeOAdkdXe0r6PDxzqRiA9UajgsJS/MrlF6e3NHDku7wigLkPPQS/kJmt1Gk5h6P5C3y22098p5DC0BPfKfzDy03X3oje8q//8QT6H95T/OYbbQ88OGZw4WMQAGx6W+t2+5Lev/WPtjBgiH86JIQGv+bzWR6Jfuhq+Lvv0V3ThcuyAt/4jwI+DPkbCZFZUSEEKYTIQzs3S6/Z6PzUC0ORpR/+Wi1arCA340jdifmDR23ZwtPOmE32vliJc3BQGoNOT+i3FR9DYGjSMAgARlVN1tXa3G7OSzFI8G7irenxsM1Nfc1NnLM9H4PQmLWRqyfnq1BI9u/FJ/NzZw1l5cNi/Hg87JnT5vY2m0jELF2u3rMLtQexceKuzj5NQdripSjOKStPPnvaVDYjuba6J79Avv2jhm6jIyNTlqtJdjndazfk5GrkOi1KkmbOUnTqB7yhsdEeqHyG0C6NahtpgcxQgEGkcvL/RgSA6LSjjoTozPgFKjE6dqh93TXIE1QyRJs11HQ8/PhSEjwaAFJUXulOcTrLsi6n+2zlBZGYkYAcHzKsppxSLnbi3IUZ1HnywL4OTRF+mAgG+avG6LEEhcxsdLTmYxBpEDBj/Kz5aJm0Z5d2/dXZFIYe/0Y+FQutvzq3vx/t7OgrspecDhuw8HnQjhEL94C27QHXJLxKqpMCgCBqqfAGn+4VcAVGop+Ajcdc6XviGHPX0DsEYaC33+TMaADgvgd8Bo6hDx6FLQmJPviIZvPb7WYTF4U5Ky8dn1KHXvHxMc88N+bAiUO9I/yfiHkaGxAmNPlo9FN9qTcIDHnpJIliUH5BgEgW5TN8ghmCQV7vsHiDAaMjmrr7Fcr43LxETX7ip590ADCLl2Z4PGzF6qxTJzob61DjpkhJbG/rJ8o1sURUX9dbWi7fuaPj1i9wd7rmpp6SMo51VqzMevgreBvdukVPEq8SHuLLhAT0c/2Nw7RmH36AChn+a9tW/UhioVtvVwvEQvyOUVL2eV1FyYT8p3FoL1pv0dfeT1GRVLEmNycfxXEkhDQp7NnVSuIlksaF3gRkrdXVZoPB3mPpt5pjEznENg8FY6TDAsDqtWiaQ3LRB8QgQa64hYszLp43JsqkOq3P44M/oH/5eCVnseG/ix7x8W/k89GHXwYAog7z7x52DR99SHnXTgN9hz1s1Hakjn60EN5Ux6QO41NReIeb7nXZV+DT96RX3+Uz753k+fAxaJIPPdGHw1A6w93Z5i0MVSQ/0XMLPn6L1wCItGlo6CfvgF3yC2TkDQA11UhR9HXt9aiRIC9+2rIsb3TEq6/T3H3fjDQVRqbet4fjj/Y2FCPFx0uyspNKytMVKYnqzCSpVPSlh/JjYkQLFqK5kjcOkE/Mw7IYb9rjhvx8efnMZBJSnGLQ0PHH8H/hYk4BsmQZFkbCIDIiYaxbb1fzYWsMB5v4ptEuExJg0LKVOccOte/9tFkaI25tRKOt5nrdPQ8vOXbYZzrzpa+gq3xjXScxms4tKzPqOuPl+Jlw2Cwp2ZjB2OPVKNGc8/d98QAxLdIUplMiCbj4X3ool1gLvfFOxZZ/6S56neKf+O6iV146uX+vaMXKUL/A66/2WePSA/EPLQAg2kZQuOe+bGokJNgV+iYfhkLvNRVbjpN+BKc8JhgS9J3evFwrkCSXUgVZiKoxOtVd70mvusv52XtjMDCifacLQVbA7nDf/2BuS3O/Kp2z2f/zq6BM4ZJ4BMxEFGQ0ssvQNaAaCs8zUmO9Vz1E9lLVZBi26nzPMuIhz8/RQfJy0Dn4xxu89vqM6kto9FM+I6mp0VZViUYaGRmJ8xekezxse5stPSOxtQUbGLr6VOkoiJJIRDNnJUskothYSZ4GRUq5ebJ3N7V7PGz5DDmBoW1btbl5KIJqakSDIdabepxEEiKT+f6T5YcOmg4d6Fq5epjIB7N8rk0TiIXo/AGAWEnfdod621b98SrDkqU+sxB+M345ahmITDJaLKYBgKrAiKkQMZcmJLRy7bA4h0RHxrcoWrmWM7j5/pMlL/9vI9GRNRwqdjsAACAASURBVDd0EhGry+W2GL0ixLQ0sZixdJv+60fXffVrKB4EgOd/UX/6BBcQqPaitqAk870P15Jdwf9u+RfXa+cOlFrPmYf6OPIiSemHtrj/f3i5CQCOV3ZSDArDTkgwJt0kPDROIyEyGklahDE59uIjyKw5+IRxZdCSgIQmVEFG5UCnTqKL4uIl+PEYyTWDXsfPZ2FUX+uoWpYNdzl3TzoMCWRCV4x2jESVpNeXwpDAmIY2CFgwdaOLWUpqDPkZJKR75134tBkchvgkpFZzUQ2bm/sFecH4B6UeYY0NNqIdK5+RxCchAHR6x+jnzZzsZ/2G9MbG/qZG3LzqaiFz0MFJirHGhr7jVV3E/8vhYLOyE9rbiCYuifGO63Cg7cQ99+Et75/vaquOcYKi9IzE9Vdl1tYg9HihSv7nV2vS1Zhng9RoNIhQlISWr0CjjkMHTZcuWEilwPeN9Ar+998f+dRkN90yotF08EGiYW8UkRB/OZ59esijnqctpg0ICR3e33b22NkBM4bnUZeV5xWqP9i+Hv3Y/xeDApPX31+txIgp+RkSKcabBoCHHkMvd2oPSzGo9qJPqnTb3fO9CcgC+PC/8xbX7N77swOSEHHArlidHcRk4c030NUrghg0dLqR+c8nIYJBVwwJAQAfhiaUhABg+7ZOPgZNk1DADyjFILJ3pMAzAftelsrLQkIAwIehK4CECL4AQGenQ6Hk7KMBYKyxtuk4/3y3PVGG4joq8wsOQ3wMwpuIl4Sam31hoIPwkP8Hjw9DDOPDIAJGJDUY6SUQEZHKmupeEuRJ246ar7XrUWVWW9PrdHoEJERykM2ZizavXhhqb2vty9PI3G62uCTp00+0Hdre+hpDUalqyTL1kYM6dVaSx8Pe4E0fdvG8BTPWe1+z5yip0Tdax3rBiNsX8j8+CQHA1IWhKNWO8Z3FqKyIXp111+Qf3t/W1tRJMAgALAaDtdt49+1ikQia6zu7Ozu//d83ktSqpJfLyWblqrbsQFQK+0UxCADeeUvLhyEiEKJZGs6dMXz9UcO1N+QGvNdGLQORlbn6WtWunYb9e/UUgwDgivEpu+POTAJDAS9N2J+NgB1vvDlDzItjHrBNlFfyP/P33h9ApTvS/P/yR8687yuPDRPojtR+CtXvfk+6/i7nnkkXC10B9EOvMsUXWhORQp/NSWAolNHU6lgBDPExKJQRArYh0iwqEArYxr+SYFCHtq+Tl5GjtCzJ6fSUliU11NtKy9B/ftZsDoDICO9tRnXEVdegVUb1JZQGdWh7DZ0oQ/I6rPWuWJU5Y2YyJZ6ZsxU01DV2uWgtn8kZawuS71LVWMAopv7zn+o1UyAD67oNafv2cNnmMbzQT1C12dbS02Ppc7EgiU9w2R1u54A0PqHpTHVXZ4+9H5n6yN5qh8OTW6DutfbJFagrXbg0c+16nwILAF59pengPq3HAw01vnAOvWaz0x2r0/bW1Q+sXedrz78lkKs+Z668fEZS+Yyk1laUzVIM6mg3p6nwiEUlydWXbDNm4ic4lNcH7+uqL9noO/SOoQwevM2xo2ZtuyMnh1PMFxYldnVx2Zpox9lzhn0Jaf2UK8yYmSRY27paW2qq76k0gmdUXJLYUO/zki0uCRBhNoKHi+xQgs/8+XO99Ek0+IEoBmF24RPWIMnPSW5O/mjjydPJH2dCyw/fLV630fkwLznrhB5uggb/bJehCbU2/YWFIX0sD+zvbm2xt7bY+QlEw5ub3e5zj5XJJPRWPVaBkDfgEDfUzFlykppjcIBz85s5Sx5cOyaTSWw27E4EQvz8qeiQpRiDQVhKinT3LoNe57h4AfOSut1sbXVvklyam5cgT5YyDNPUaLOYB5XKGKVSWl9vM5kGyTslBX95BgdZEvRZJpPabM6EBKlSGTNjZlKGOi5DHdfX53G5WJeL7ehwZGVzplSnT1lTU2NN3YPdxoG0tNg0Veyliz3tbb39fYNxcVJ7v1OVLlMoY1WquKXLlDk58eTNzzt77EjnwIAn3RuJ0ZvFjPv9pxjkn+FYcLmprnDiBEJvvtF29kwPec+d53OyE8xknJtRKhMSnNUzPwmgqNLX1DqBc9qKAYXdZB50m9luT3xaisNiHnSZHd2oOLvj3kWC0cjmq6+g1c5V1+Z+trPN4/aIvFEZGYZRqtL0WjTsOHEMXv7fmG99e/TUm1//VgGxASIjl830+QIEPLSg8hc/5fK5VF803n4nZ70kaDOhm8eOcvGQSGHZctQf8+PNX0naMcFK0m8yKYyUrV3QK7zNz4mREB+DQlmoUHIyhDLOJLcJpLef5CmM63Cf7fKl0vxsl+Gqq0cxej2wH38VyevA/u7Va4aFuhnaE+r/lNQYvlgoDADiH0mvxyzCajWHCMQQPkSjSWoehCHl8hPCFgv9813f4/Q/3+1YuFiRmYVg0d5mz8yMd4OnrsYKAFaL8+xp8+y5wjv6nLny5qa+UyfxmV+tTigswmwb/HMEgKOHjcsr0o5XWRYv8TmFlZQm1dX21lT33LUxx+1mW5p7M7OStO09JLGG10IRG1dVcvfKixcsM73pV8+fNedp8BDnz5pnz1WGpx0j6rB/f6SfHL0YjTsjWJnxb04NEhKc5/efLC7+zQ5+pdNllYq5D4fdaIpPS5G6UIDhGQp+xW9My0cOoclzQqLksSdW/PF3R8QSMY1SDQDKVA6QSft778/mPyILNAVf/1YBO/TTeO6M7yeGHmukAsUg0mDL+82XBYYunOO+J7Pm+L5jV4aV9EgrP2q90YBhx7yh7jlTylG7BGzwOQGggOceYmXU2gbp9QP8OyX/dPZtlq7d6Nw3FHiavyvsMk2+EYa5TNgHvVwdCQyljFsW6xjwEDMjx4BnJPqhDzyjPuqMyTaILB1hoMqjnQ11pnu/NMPr4WUHUOR5LZQBwDmIMqr0DMyYQV7nz1r9YUgiYYihdJ5G1tTYR0mo8pj5n5vxuT1PIycwNDQM958EnsbUBQsRsD7Zoc3OkaszZU89PVvQkgRUJDBUxgtiRK2q/duHUjNxGERsakOZwzjbTIF4QoIz/M0LDYtnbMJoCmlKKXC3bQlwiO0EqxOsdqNpwIJyjh6TseoI2jifOekzcScDEgyi5fzizMJSnw+8qctQd0m3f0/7b3+NYeDJi9IPLQztwf/URHrOPHy6uvaGMceP5o928QInp+FXTlCZYpA3jRqHRBN0rKkyLMUgTMMyhEQTNPmoDVct+JwLNkdajSvDMEivHyBGJAJTEv5ZExji14ynzMeg8YwTwb6vvtJE3xEclg5FMOjYUTN9013hFTo6UDgkeFEM4mdFFbQZ62ZjYz/1k2+o79n2YePJyjarue+df2BGMFX6sKdoweA5uYF1kQWFiXkaWZ5GVlCYWDCkr6w8xt0Iuo39rS1oCRTw52j+Ap+Q6bobsvMLkjT5SW++0fLmGy2Vx4Q/6TNnKZYs9T3xCqZHXOhpJd9O6JMdXZ/s4NIw0AYTWpg0m9opJhP6zQscl2D+eSMnenFBjwt6lMnznCYL6/Wbd4JFnlbgdnkGLOZLpy9eOn1Rkaa68ZaCv/yxhfxM8wX4DTUISQdPfOHNN9pefhEjH0qk4vRstWd4SFm+/muka09hCGD05MnPPo3BiBrrvWEkZqJBUvnMtOqLxi3vN5eWJ69cnb7Xax21zmvb9PF2nNj1N45N7zbSPAX1M2YpLl3gvi3Ux1LQ5krdLCmV0R/KUZ8XI74IlIGiNpNriPQTZGWuADAKLhlas9G5P6KSoSCLGcFdV12togqygKqx373UEBPje1S+cK5n1pCl4DhVY/yzoKp5fiVJiUVqxi80EozM36TklJXFadb4e/3LJBeKth39y2bPVXy6s/PShR6job+3h4uO7Y2T0kUSX9DuZeUyGk2RCIpu/0J2fb2tuFgYb5oCEO0LAA31vRazXSxmGuoMG3iB6Pj0Q9sTsdCF80L6oQ0AwB+DKlYOyx0rgCHSlzLQJzu6rjw59xQjIXJJNEXqM8fOodQRrC5ATHaCwWw6482jlpSUmu/oNvcYm6WgSExPF0vEyjRVUZl6z6729Vf7QtSvWZe9f6+WYFBBccYDdx8EgHmL8y6c0ZqNaGCUnJISGys+Uan/7a+BpuolE/jDy00BIwbxP23BywSDAKBLZ03PTK6+aCwfgqEVK5Xvvt387ttcTtZ169MIBgHAx9s7e3vdd20clqY++IFC3Pt5AyD+skw+APGPfkWWrwD6mfzrkpkZN8lioYAABAA028/goIcPQxEEoODLyzchMnUPhg5DIQINOTrFIHS56nCM2pePQQRQAOCa69R//RM+zeZoECZ6e1Cl/sW7hT/RZeUyElCRWvlQDNr9GfdIv+EqFYmvSEIsXryAwy5dpmzwPi1782/IDh/SPfczDPIS5HXyBBokCV6EfqoqLRSD/OlH0CXIJoWhIBYjQbqPaRcRC02chRCZzJQkITJ1u5dXnGAQQYIIEgAYD/QxkMyAmBGLk1OK7CZTaka6pbvbbDRAGQZ92rMLfQ6J20LlEV19jb6oFOubG7o0hajSWrIsw9brJNKgIm9a1jFdM//GNJvYof0dK9dwXw9+LGkKQ7QvZSBS8/wv6ufOQ7u2wwd9mToiC0MrKpRUODEdN5kse5oqlkqh01Rh2gn98mecLfwPn8LMz9OvKboCI5kKkdPZv1m6eqPzQCTEQhSGxmlBHMF1FsBQBEcmQy1brhxJLBTisUYlmFDkvs//vFqWiD5cP/1VsARnHVo7wwQLwnf/Q8G6U/tlemoUgwBg92eGDVdxdusEgwDg4oXetlabPDmmrcVaNjNtLi9+Lx1EUFi4CDVlxBNNsItikKAeAPgW8eEhL4ks4z9yRGomWk02NUjop8/WkNX80TNld9y4p6VBJ09JxdjhJsYFGLLTDd4ICtDvgl5lRrrOZknJSDeRSJ9D16HZm2d+D7AtjYaC4mGBPgkGAcDez9rjEyRiMZPvTcU61HXE/3x/Af/nAD4Ged3sORh67ffNFSvTDx9Chevy1SimionBe+2TP8L75fO/qG9uRNnm+dPojKBt6936T+uG64a5sL23uSPiMDTiSUZux9//0sof7OGv5PE3o60cNgCRE6EYBAC//FldQBi6whiUH1xuTDGCo+3SU7fqECd2YLN01UbnwQjBUIgHvWKaERgiLqv+JxW6QMi/L60JIvd9/udDUXy9rX/0g4sEhlpbfQqvvDy0+0lJjenQYqWhy6FKjysqTiLSmi9/teT8ufTmpr6iYnTT+cIXffamdALjKVgtjpzcpJxcfB6mxtEjDXjyBKcXmzlL4XKhFw/D+BzHApLQkcPmsT4AE+0YXyA00nymSn0wvI2ScyAYdHgf3kS1LXpGJCooyWppQLevzto6F/Q4vQoyD/R5oF8K6fGQBzEMMPghSFCkisQMIxL1W8wJCnQOB2DSMtAop6A4vb5Gn5uvWrkmp/II5wC57irkkqOH9QPeiOZkBf6xeeWD9x4GAJpWjKjG+BhEWhIY+uMfOMUW9SY7tJ8bn4qFCovQj4DA0DPPoYX/63/DE3zokbznf1GP2LQP41CTV7fBKkuKWVqBc6M5PSJLQkOHmsD/uz8z7NyB61A+g1wIiHISGmkt/vVPLstKkJ88PgbRcQLCEN0bnYXnnvHdJ55+NkAwC/60+SSE8bS8H3J+gyu4HCkSioYlotqxP7/WTLVjX/vm6LaPEZw8UZBFBIOCzKqjw0FIiAiEaMvHhp9sXl58UxMXe5q4fRUUcI5gW7fgr8Gtt49OPxfOc3kw+AES+TIhANhwlYpIg0iu+8Ii2f69navXppNEHF7MChbdlGJQTTUeq6wchUM0VhM5Oz4MHTlsPlGFwRGaGq15GvnCxZy1UOgyIQEMjd+skF6CSS5Eu0yIj0FkaViPx+n05BWiVsti6HKarW6wkQDi8YAylfh0pd1icQ30SuOT7T3mhOQUAE98kiJFlcayYDZ2GzuNwHrcLk9xubq+Rg9rfMZD5BCrhtRYAHi3/vNrLWvW4edv/17tipWZypSYTW9rR8oJTzEIaeZAx8rVQoUxOcQ116FQivwlDETq+WVSg1+zLyIqXThnuPm2MMP1fvOxKvyaXZN9512B50OPNUEF/he++pKZwtAEHW7ihqUYBAD/+qcuCAxN3BwmbWQ+BgHAc89UjwpDkza3aDvQwc3SlRsHD20ec3zOnz1XS87lqadLo+SkEhLEZCZPfKfock1pohmInNfv/7dRwEAY8sfqaG1B7uFnhqfrwPd+P3e2h9g4nzvbE2LQUTLOhfM9JFr0hqtU9LeRqsa2btEaDX0Ws/2OL2K+8KbGvrJyYWwhjFl6krMHIlbSdIaCQk21lSCRoB5j5nkxCOUChclNjVZKQv4tt231OV+PlHZ+6mKQ18LY/6SjrIZIg4hAiEytrVEHDGiKEMNX33zbgW0fDoIuFhBo8mcvaTi/RwJJ0hgFI4LBPquyuLSoTE1UYwwDfWZjf1+rBJLcLgwtWlCC3lhLV2T98+0zDz66AAAefXxYbMM/v8YlDUBz+nXZJ6q61m5AmNj0tlYiGcrg4p2Wv3bMB0MMNNV1FZRwKjmBnZBgvb//ZDERC9H6hjpTzQV88njjLz2Z2Yprrs8NXSD0p1ebT5/kLPJ2f4oBBSIIQ8F9T+j8PyeFY0fNI0n4r5gVCB2GrkiBEF/U5y/hO7Q5pmLj4OGxwBDFIAD42XO10QNDUf6JPXeWk6+MiT9COSmrFf3wM7PidR321pZ+CkMFBQlULETGoXMIZdggbSgAEaugrVvwVzpNlcgwzIXzlltvz66vszU19hUUJvJTbVAMIkgUHIbo0fkCIVpJCgWFnB/+qAKhbVv1FIamNP3wVyDaZUJ0rtoWZNIeo8HRY4pLVsrTMo7v3IcfgkOn5Wn5DgsXHUF7qSY+PnfQbmYZj7Ov1wW2+nOfmQ1z7b2W+CRFv9XstKMaVZqQbO81u1Vpi5dlJiXhA9Ajjy+kxxqpcKIKLXv27cZP6toN2S4XK4AhQUciWzroVY2VzlQ31OhbG7v2Hrtd0Mx/E2FoqJZi0JyFKJcqK0/p9AZUHdo/tv+7P9VGioQoBo1tBpFu/eKvUJlIX9/9AT5FTf6LWH3SIN0/fKqEf9cEAP8b5+RPcqKPWFSUQBRkVzwGjWT7dXhzzIqNg0dCgyE+BpFLMw1DoXxE+QgSXBhDknkBQGmZ0F991AMRGCIWQqQx1YiRzTlz5fyZjDogvwGfaWj90SMYOujc6c50Nc6W3FyIXqysHNM60ZYjFRYuUlAFGZUDPfAgahL4XmO0+6IlqVQsVD4jeSQG4guEaN8rrDA1SIhgEKYo6jFhhg0rA4zYBSgbdJgZB2jjITc+DXWcDrPFZsfYVo6BJhcgPDGg6NYz8fEY53DQbmYwFS/r7LdKYpJNnV2bXj/5tW8v5V/Ub3wV09eT1+//NGwXBuaq7iopR/N+wkN/+LOwwVBX7v9jX89nWag8ijMp8vqvfeXBo395Y7mgmf+mv2TIv0301IwarZ8Iga+9AcVprc32ibMQevFX9WHD0MfbfUHDrr9xmE09XeovfDGTKsioaiyg8wsfhj4PGESWKCIMtPNjvBDXXh/4EtBrcdkLIxnCX/aJTU/Am8gd3WjIq7bGFhCGfvqrmT/6wcWhVsL/q1aPK6OIYLhZs+UXzvccPWzM08g6tA5iGkHbEAyqr+tRKOO69LZ0NeaW1+v6ysrRCntgwEPde9FitYIztaTdaYHk+CN/T2LKP07SE1AatKJCuaJCuWun4eprOZ81Mg4NHQQA192QfvOtaj4MUYEQPegVUPAFzorOk/nRM2UVa30eRrFJSingh8BhMYkhWQIKO7S5odcObXajyW5EphYBRvB0QScLfd63xQ02p93Sb7VIY5NZYMWQJImVE5NqwVkfOcRpQxvrjY31xhvW7zh1ouvoYc5C1uFwEQwivRYtCfBL/djXhynXADgMEhyIv/nQI74T5Je//yQn3pizMJsIhBrrjKdO+Hzp+YMEKet1Pku9+QuHfeKD9BrTrpECk/AH2XCVirwjiEECgRD/cBNX/sIXM8l71EP88KkS8h615XQDugIEgwCAFuiuKVE4sjlm+UZMyTz9mhIrIHCbT06O+8/vjeIZQM9rzlw5fdPKIIUOrSNPw0mnPv3E99xFujQ12jq0/RazXaGMS1MlpKbhO78gMb8A72j1db4oQUcOm/nqMH6Zf3SKQfxK/7IAgwQNCBVdkfTDP9MpIBP60TNlsbHi/bvRXqeVYXoYBkQi4iBvMzd7wJfoO16l7DW0eqU+IhYGWXAxkMAACQbDJioV5o7GmATFYL/FOWCVxiIs5+QPo5nmBkNxWfrR/egv02u1yBUphSVpsbFiiYTx3r/Z45WdzQ3d7c0dZbOLd3zU3NHh8Lch9Ych/oqvWR/AZpkPQPzGBIY+2dG1bWtrY51RnYVz9sLQMKd6fhd+ef8+Y9kMWX0dPtkUl6AC8atfE4Iabf/WP3zeaiOl76GNMXktL0Ytv36KlolAaNuHnJ//tg9bX35tcYjnMv6YKCEeaJKbPf1sucBo2v/TPqFT2vlxV8QlQyT1MgBMnDPU0c0xy+5xHts0hkzmZBmn7YRC+Tjx1VIRsRMSwFAocwjehjpRhi4iJUYaGN13IZquOp1w860B7hSnTnB5cB0O1/oNE/JYO9KpXdkwNAVIiFyYNRtQ2bkfGCjMOl911mE2OaB9AOpYGGQgzg1m1IMZwBtymhFDogiSWIjx8hDrgb4B0AEUxsQrnf0WBhgnWFwD1li33Jucg7v0+/Zos/NSD+6+IJFwrhMs9YMH+PtfWhMSsb7HapcrlTptd2Y2EsaoNqRLl6uJdqzuEgqcXC7PSNwz0kfwuhvS332ngWAQIsi1uffeeXDWXO5r8KNnykbqSOpvupVzjuNnkBF04WOQYFeQzVBEQUG6j3/Xd39QHCmx0PU3pn/r8eN0SqXlKb97qfGJ74REnACgUEyZrxI9x1AKk4w+oUxpPG0oBgHAq680jQmG+OpOModxKj2ferrU31RoPGcX8b719ZyCiQZEjvghwhswFAAqLZONx04ovIlh7OkGzt+elEOHIQDIzZO1tdpKSuV33Ml5y585zYmCikuSKQa1tvS0tvQ0N9pmzlb4e2kcPIA5EgBg1WphDg3/k9ryL07jcfsXRg8E4N/9iqmZAvGEAOCFX9Yf2MM9rLc06BgGWut3D0CtB8wMSAFiRJAshjQP9MVD4QDqxewMiL0KMpsIssQQFwcFg9AVC1nK7AKTFm1sFZkFsxfOWrk257++h56iJK3Y5n+cNRlNfb2WZGVqr9WSX1IkEqGDGEnVWzYzvfZSp62XS1F+/a2z6OfA/4ZB2YLIVx66DyMSAcCiJej/P9Itdse/OeUX3xb7muvS334To2OT10cfYLwiSkIAMBIM7d9nHOqE/8dEQqGIhfiDX66ygITCNhICAAEJBblMgpOtqe4lhopEPR/Q5VXQZXpzpBXgK8UiKxDiYxA5+phIiHShhvCjYtDSe5yVYxcLjbQsk19PMYgc+twZTP4AAHfceXlumZveRleVkcKXkLlFw18+CflH1aJKMYGdED/aED/gEP+M9uxGL+BPtnPC+7JyNBR55NFhcZ4IBlUexV/+pcvTgsMQxSByFD4MUVOhKy/FGH9JaXlqPMi63WzFmtzD+/ETcO8jS//0mx0SSHZDthNsLDgB7B5MtWFlIE6mzJdBfrf5mAuFQFIpFLuhzw19DmiSYjRqtkO7yysxSui3WNpbugByfvNCQ3w8Zy+VV6jKK1S1NhrKZ6sbajmMyC9Ka6wzFJWq6msM/X1OkUiUo8HYjEFeFIMA4K1/tHUbnQSAaJeA8gaKQadPmRYvGWasd98DOXwY4mMQHTN4IQgG+XecKhgEAONBH8GJl5aP/ggl6EI2qb/GyRMWAkMBm01XhrICkaWfUI44pjajAhAdrXKTdMk9g1WbxhxhiI4QPYVdn3RmqLlYgh+8r5t8GCIYRMKXRD8MBblw11yXTlI+k780+DWxpyYdA3qWAcD6DSoCQwCg19liYsSnjuurL/Vo8uW85N9AMMhromoMTkJB5vk5ASC6AtFuMU0nCgAVa3Ir1qALmMNklgJxmye/MhKPhNhH91jM5/rMrSygfJKFXhd0s2AlWcncnI6MEUMSA2KRWNJjNp2o1J2o5MSDNIp0XqGqv9+98YFZHg/rcnmO7r/k8XjqqlFaY+jQGzr0DTW6hhpfr7rq7u995xT9rvIxCANJH9CfqOLe/NMJXj4+FPOKNrvvAVRyffRBsz8G0WwktDEprFmbRt+CXYLNKYQ+gplHw2ZuHpo0kheloqGK6f+RWYEzp630HZkRJ36Uqk0xS+6Ztp72LfR7mzvo21c7Won+tJKGgs3Revv2Hz1iJm9f1QSU+OowfjngoQgPkV2zZsvJ+3jViJnk129QafLRmyxPk3zqOOffAwC//7+mgOPz/WEDNpiuJCswlUiIf81scMEFHQCDCDzgYlgxUZM5oasPLrihy7uL6+GGTheg6tRrTM0M4l5m0Gbtt1pOHrkAAPzE8qyHbarrZBg4sK/D3j9g7x9ITOKs/duaOtS5KBlWqVNU6pSjB9vrqrvrqrvVWfi0dKKqa6Sv6IZrOEudE1W+zy7/dATl+QsCCyfueyDHH4MEfcPevP9LufQd9iCT1nHPbgN9R+Sgr/+1VaCyFGwGPwqBody8RD4V0S6/+nkdedOa6cKYVoBaS4ypFwB8+IHuww+4hxaBLkywOdaRr/j2fNsgKhAaz1m/t5lLOtTX5+zrc9LN8YzJ76vTOXQ6jIsY8EXc1MkuflnQ+Py5HvIW1I9ps6gogbyD97p00efVS1sSDDpeZRmJh77+reKycuWp43qT0ZqQGNvcaL54Ac2oCQzxhUAzZ3Fh9ujgggJfHcYvf/Shx7ecrwAAIABJREFUnrwF7a/gzalhJ0R18+RKvPvG8fbaqn4454FeVmwEtxRAzEAiiwqyeAbkHrGWccsYkLEwwEI/g4ZEmWKvdz2ASAyJsYBA44LeBFn2ultWL6/IPHygo6XR0NaAycPzikuKyjKslkFti0EkRjuhjsaGotkzHHanplA1b6F632ctxk5EK5k83mw0X33THDIx4ld/z33ZfLGQy8Xu39NBzKULStKD2AlR7RgA3HBTBtEoC9TJmC15KB8t/VyOZCdEG0xy4fW/ckZdD33ZFyAgsnOgUmIy7HjcKOhsMe9buBMOYqX4q59zGenJVH/w39N56cf8WRCQ0Lz5XJSU4ANRBgKA2+64PNYtADBpOrIgH8LgCzXq3g/e94nAw1aNEfTp63PSwz385VDTB/EfMgNqx/gMlJkZRw9BCwL6Wb4iQEie8+eGocnsOSh9Cfu1dQs+9956OxqG8l9EDkQwKE+D4uT5C7jPs4B+Fi8ZEWU23rGXjqnKkM2chdYUREfGlwONFBeN9vUvfPThsMf1W24Tzt+/S8CakU4/YOPLXjk1SIhEdKWLtfn1Km1dpR3qWRjwgFEEqQAib9lrMy/pZ8ENwIhcyV4rIhEDEoBYEcgYiANgkmCeF4PQLWLGkvX5xarlFZmb3jgjEouba6plyWgDlJSM3wGvoTRmciUvhmFu34h9P9l2KTc/rfLA+bzCnMSkmKISzqaHkhAxDwKA+7+U+5UHjw4NgP9DCavIbx+wzIehqMUgMvOw2SLgidPKCSKh8cAQnRu/IMAgsms8MGQ0cAb7aSoSHoJ/tCu5zIehUEiIj0GXl4QAYPE9g8cn2GCIYhD5EPBlA9HzsXhvcwefhG6/I0uhHDHWwPvvcTIkkiOIwpA/CfExCHNlRJqECCGNCYwIB5CV94eh06d8wYEICZHgtAISstsxJRQmlVqDt5gD+30eML097v/7Dfq6KlOQpVat1fBNhUiv8P5GhISCn354E5vQXlPDYpokKyCSoR8+VfLHX/9bAslJsKgPqhmIZcHhgR4W+hiIYUW9LLiA8TAerPdqxGK8wiF8EBFBogfsPVDp9b2PjYHsuqrjxk5Ncz0X5IpgEF3xbI1Ki1bV3Ctbo9r6z3MFxenGzu7GizUA0KWLt57vOnNUVFBesmAJ+j3SbymxvHnt91xeejLE0uVh8vXQFLj/wennn+/iL0jAPGiCca6MzUgJhKJ/NSgGAYDRMPC5gqF585PPnLaGwkABr+OHH+guo1gISAC0gDP7vFbefkeAeDkjLcb773XQn9aR2gSvX75CScVCAQVCI3WngqLz53rGBEN0wK1b9P4wRPcer+zu7h6suWStuWRduDiV7zVM2xzY381PhVFf2zt/YYpI5DNu0bYPk2bRjnv3+OBp3fpRHH1or8gWgp9+ZI8V9mhThoRo5qafPluTnKaymZtdYBNDEgDjhgEvD/V7JUAMMC5gnKzYAWIAVgpOYCBJChoRJEgg0QFtaC8ELAOxA9AIADYTmgGlZQg/JSaDQZ2dajGinGnWwmExe3q68ePl7O01MygxSkhK7u4ydepSAn5XI0U/IV5jgkEAcGXzEKGfPbsN48EgIgHia8dCXOTpZpdlBcaEQbfdkckXCxEMam/n7EhycgIoUCbupI6/I110r/PEOyPKPybu0FE18l0bsyxmn3YsRIHQqKeQmRknEAsBwNkzHBzMnccpuUYFoNlz5JR7AkJPQBgSeIGNOlsiBDp9ylpfh3oJrbZvcNBDep083r1wceryFcqtW/SXLnJ20xWrAkRQPH3S9MAjs8+exjvRXfcMc6QPZQJB2txym5qKhcJWjQUZPzp3+aAyOucXcFZWo0EC+OF2gt4JTW5o94ABRA60/BG5AAnIg5bUrARAIgKVCJI90C8BGWCKDbsHrCxY3IBBq51gsNhOmlobOrX6/KK0NDXHQyaDYeb8cr2WC+h54WSNMjXuqmvzEmWx7a3djIixWzudHuuAxdpv6ei3msydepaFL208/NtfN/DnHDztPL/l5JT37zM+/4tq8uankpmco4d9lN/+uoG8BSOME4MEo0VcNQYA/oow/xr/aUzXRGQFqBBIgEEAQJEoIgcKZZAT70gX3uuDgFC6jKkNXx3GL49pkAlt3Npqb2219/S6FEopeQc53FgTRWdmxtG3YFiKRIL6gJuz58jJm+59/a8+tyx/PKLOX7RAO9KCv0Do5AlLbU2Px+MpK0/KzZXpOnwp0gCAqJY6tD0d2sCSHmSphehVM3d+2tz5wmd4ely+QIhWhlK45TY1eYfSOEibI4c6jxzq9D/9IF0u164pYydEF+inz9b86+0TFkOXzdzaB1UAIg90I+JIbCgeYhxebzKvEz0wwEoZZ6oIlCJIloLKCQY3GIBLxIGm0AwoJZAhhbSyBVeZDN3L184GgL+9ueKV3zV99kmLXtvd0YRkk5SSlp6lyitI02stXXqTvrbG6bGx4IqLz3TYdRKQpeWX2CwoPfr2j7hU8//5/zBgIwDwFWTBweiFX/rSqn/vh2HmVKcyIXJ0gY7s+V9gIhH6+v6ToWbYoV1CLLz+19ZIWQjdfft+etCK1dl0YWll9BeotdD4MYgqyCKuGmtq8sXGFaTdDn2FiTFHQOFo6INMUEsB/UyQWOivf8JHLPL68leFFsEL73WeHFky9Lc/Y99HHhX2GhpvCv9vbbXzZ8/P8c6v55cFdkL8XaOWBfRDxUKjduQ3ID/IXZ1cQqeHvlwgICE+/Wi1dswRls9FXSLjPPfMhWXLOYkOjdBDAm3U13GRKm29rqZGa2YWqiYWLkZ7oCOHMIIiADQ3WUzG/quuy1+wEO27581PJqZCMhknXPzg/abc3KRFS1JHCmPGh6FJ1o49+b0z3jPC079r4xg0oeTcJ/nv1NCO/ey52sP70R1p9XqNRCLyeFiFKt1mbsU8G+JmcEtYST/GVsQoi4NegRCRdYkxrwYqwuQizMhBuNsJIGXQwhp/98Ve2ZIEZCZDNwBL0muQeNPK1FhlalZcQozJYOo1d8fEZOo7UFxpNRlAyrgH+kRcRjO8ZKbm5hgFiqnOncEP8Zx5PnlmEPqhfqR3bcziYxAJqx02DIX+Gdq2VT9B2WQmAoO8wZkwzuyUg6HxAxC9phEHIDoyv9DU1B8GDFGb1k1va6MThug5TgIG0WPxCz7/C36tt0wwCJ/Erlwe8jvpYRU6HecN4LV6jh2rWIg/1tx5cgEM8feGUqY/yOkZXLSwHf/uEpAQHUer5TivubmfwtAnO7ooBtGW/oUly1KXLEvt60PjaKK/oySUX6CIi5MQDCIdV6/xSYDQNuAqNE61WkeUNa5bn0ZgaJIx6L3NHQsX+26C/mcdbTVTQDtGMQiN5/fgM9M9Dy/NyVe7oIeBOMYtQwzCFwMMCWJGTspDqIgBKQs9brCgwTQaLsoALamlDMgZiAdMTZ8gAqm9B/PYk9exI7pNb5yuvajfu/1Ia0OjrcfCiDHjWGcHUk7JzLK0nAK5siRGpIiXKyQgi01WEgySxsWcrqzTtnpd2IZGG+k/xSAA4JdHaj9q/UsvNrz0YkNbq33HNs6JXSAQwm9ahe+LNHOWYoIwaNSpRnODUyeHuXVE81Sjam4UgwBg1ydtjz40zGUyGqY6QfQT5NT48iHS7NQ70gWBdGQUg4KM9rnaxaeicZ44FQjt32cUJCAa58g0QjQAkIzxKMhp9slWg4xfXJJE986ZK1++QknNmFav9eUFn78wJJ7g+9JWVVroGwDWrU+bZAyi50ULEbnB0dEmohDtMiFBhsL2Jt07Tbq8oqz25s4U1TyT4awHegDMwAzg28s6XpmQa2ix3B6pXoRG07FOaMYYjBhgOsWbn9UjhgQxJMZBjjJP02cx2XtQ5NPSaDToulJUqQZdl9vpsnQfl8WXZWiEuip5SlpKaWleYVrlAXF6ZkZ91UmxTCphpS4Xov3F80YATjs2NJOJ/f/Siz77pNlzVW2t9u98N8AE1qxNO3oYjexGDbo1sdONytEpA506aV2wMKSINYLzoJrQIIJAQZfo3AxDIEROZNcnXFIkAHjld43ffCLUFLaTsw6TD0P+53XqHen8+5yn354o6+neHpQQJMknanz/MwqlJi8vnirIQlGNhTImbdPWxolkcnPjaSUFIFJDGWj/PuOYUg/RAQMWCAxJY3wyBSITunSxN08Tf/ggPjzn5HKxeckIRJN18oTl7nswZYL/a/ESRfUl7nlsVKfDi+ex5TefEN6hyLBVlZYlS0cMSuR/6AmqmdaORXJh25t80b1y8jM2XLvsl99rsYPJax7k8poHkZDTKPvxHlgMGElI7HWz7/LKgWK8AiHwACuHCs2cBRajyaprMbSeI10OfHKUZdGM32Y2yZSoshVBwoC922KQ6eury5cuddjxV6Zi3czq8/rc/NTFS9Wvv13x2CPHEhKXn9q7e9BmdfSijow0I8lBgyfGOnyQC2OVlc05OIS9ZPW1PllUcakvSjVJPEkj6k6cbVDYMw/ScfW6nAN7fdlnJ001FgYMUQwixmFTDoYI/YSnFyPxI/hioQWL8Lk2CmEoyIct4rv87YRGOsQjj2oiIhYiGAQAvT3OKIShkU7fvz4zM9RwWRSDAKCtzc6HITosxSBaQwrbt3EZrwHgxpsz+Hu/98NiqiAj9aGYKzQ22Kh2DO8Uq1SHDxra22xfeUz4SDCSZQ+mKzhumTFT+CQW0HGSYBCaDRwyVaz0/ebzTyS8cigGRkGytN61MYvKgaIfg8ALCuEt1GT34mMQAKxcm7fvs1ZA97AiF3vWG0PIjYY+6DXmYTjhkATxiBlgpW4Wk3IwjDNFhEqxZBYd70X6lqa4xOQYmWLQxgxCJwMia3c1C6xciT7zvd3GQZtVDAlSSLJ3dwOI9e2d6ZnpBSWq6vP6r35rwX0PINH//S+tFasy36jpSs7U9FvNMfEyloXy2WqaI53y0DtvoY0LJpG9H5W7d23M+s5/nKTrmJ0Tq233qclD+dbRvgDAxyBaz0++/eorTRSGaIPoL/zHf3K/IAf2tq9el0M3o23mfAyKtrmNaT5hS4MIDBGZEMGgMR33ymhM0IcoxYJg0Om3pfPuc54ZWSwUEaPpKISh4FeZ0I9ONxA6BgUfcJx7/WFopAHz8xOqL6EFdFZWfPWl3vIZPs1XQB/4kcYJWB+QgQAgNla8YNEo9BOeQIiPQQGnhOGFd/gi7QVsMyUAiM482rVjZKIVa/Le5QmESGVro14qSfa4LCyqxrwu9AhAiEEs/iXJWb0WirhXAqyYlfayTrQQEoHcCdYYkdzR3+Ny9Hrz1fd7O7JiiB8wm2PkiOQusElAlpyjsbQ3K7JzklOUufmpLqfnC/fMvu+BXPLEQNPgZedr2hpRniSRiA/tvmDoKlqxComHvCgGAcCT3zuzao3aah1csmyYDnis9DM0dqj/pzQMTTIDhacdC/VKXLntPrcMxL+kQRiINjvztnTufc6zPBiKCP3Q8aNQQcafW5DyRGDQmrVp/mIhvkAIALZv6xSIhQAgvN9kQkX0HGfM9IERrQxSWLRYceL4iElYaceKlSmHD/n0ALR+yVJFVSV2Dw+D6DihFz7Z0UU94wS9/vwaxhZ+9PF8QX20bUY7CT31dCkxFcop4NIGrV7vczGNUyoZQwzDxrFoK+3yWgjhCntlQkRfRqKVi3AvxlMEFgY90CmGvEEwMBaRCxPUY3xFFmwiSJOAUgxyRkqUayCBRLk6t99i9qrewGzshjIuSDQVnC5YrD51XK9v75RIJawbwcvabXQ7nbr2ZAAfCe3Y1nLDzRoSCIt8CM6e7p47HxVwEXm98scl33ysKiJDTcQgu3Yarr52GPZNxFHGOeY0/YxzAf27R4Od0DjTMPmf1JVUQwMJAsBIjlFRfr65ufFUQRZQNUbm728bdOPNGXwY8seg8Zz4jJlJly6ilGisGEQOSmHI1D04UgLKINMbJwNRj7Mghxh1F2Eg0uzPrzVHOQxFOwkBwFNPl3pXs1SQh7XHZOgxNnugF1gRIZUhBqLXiEva4t3LwQ2xHPKAgQW5HR3pGQAHSb7BgsMFZlSHuWUV16wAgJNHzjMMmsLFypVWbWuMIrmlES3gliwfls1xwWJ1R1t3eyPCLzEzIjM4dli7rIKDoRtu9gEc2bt6bea77/jMnK+7MbD1HD2ZUQuv/HHJzo+7PvxXyyt/XDJq47Ab0FyMISZi3LUTVwz9iaYCDIW9LI9/I5+vIJtyRkJhn7igYzSgj2BK/M2Pt3eFkZOSP0IEy2ffls6533nurUiaNgexDXruGS6W2NPPclHE+BgUwfMKe6j33/NZgt5517Df2OBjBgGg4B3Hv7ehob+oaFgMIQAg2rHwGIhOadFiBWEgUvPpJ13+2bilUs5Se5zoQw9KCwSGQnQ6G0kgREcDgCiHoSkWWZHA0JEDbWIxc2z7fhtUO6GGBScrNQKD4YK8ejGfGT/vSjAAsZh8g41hPDGMRw4gBSShBK8fmZMFmzcphzoGMtI1s5eunumwu8RiUUOtXiwWWbpNpvbmWLkiUY4Rrv7rqauMRmEIhz2f1tWcwd+ahKRkjwfVZDPnY9ZxAkPZOejUQGVCq9aoP9rSUjYj9fRJNNmbvxCN9QJ6e/FOIZwiNRU6f7b75dcWhzMErw/FIFIXCgxREiJdol8yxDvd6eKVsAJ8mRAATBwJUd9DAAhdvhhxGAp4zSgGkb0EhgQkdHllQnwM8qZczdTrfXaTavXoBtTvbuIytt59zyTF8Wto8DnM+/OQ4EKcPcO5g82dJ7SGFrSkm3wSAgABCREVGG0ccRiiI4dX4MuEyAjRLBYKCA3hnfhk9PrhUyU/fKpkzYY8AFCXlXKiIEmf138+xmsuTaZBzovIgRiv4IeENJMwLjkGpBZbWOjz5uXAjzIDUhFgoB03hhpizLq2E0dqO3VWndb82LeWfOXri9Q5GWma4iRlWka2KlujrjrWde600F7sS1+em19Wkl9Wkp6Vrs5RyxWK9mZDezNKRL77g2JiJT13ftqqNepVa3x5WOcvzCAYNEHL97VvFmRmxWdmxV9zfc6HH+g//IBzVZugw00PO70CQVbg85PijU9FQRYEY7G+JZ19v/CxKniXse4VYBAAkJrLiz7Bz0IARp/t6jp10hpkVSkGAQC/HPwo4e1taOhvaOjnh/AZdRyKQd6EaMMilp0/10Pfo44z3WCCVmAKaMcCnnlLg05fU+cBO2Auerc3piKyDuNNuzpkMMR6dWGsV/zDAogYpwwkfeARgztGBBhlgYU+FgZEoCSJ62MgNSk1l/HGcDB2dqvUqceO6JetQHBJz0SbHrEYGauxzlAyI337los33j6TTI8a1n22E12+BxxcQKM1632mQvfen/3+ex0Oh3vzW9WaAmXZjIgZCQVcoqiqJOExFi/9HJ1yVK3/OCfT0cElLs3KCjNxKWUgUnjoy3nHjmIs02XLUcg6oa/rb0ynYqGJEwhN6ClM3OBRC0N33uWTCV3whswhixBGeIvIrh5fDhTGyCeq0MbZZHIGVDwJMrxec106FQtdc106fY697Q7fs/RY58A3so6s471gJo8+ns8XC0WzQGgqedHzV/ngXoze5gRC1l5hDysBhvXGjB4gkqEhDzKSkFUErIRh4zA/qwulrN7A0zYxZEmhyM2l3UiVgkISK2NZlpAQABSWqOqqUfZTXJZeX9NVVJp+aPd5AEhNTz13Upsgi93zaX1hSdrLr3Jap3vvzzZ1Dx49xAlp+XOm5aOHOzUF+Ou/Y2v1DbdOVNoverjIFu64M5MqyEJRjQHA1deqjh4xTzNQZC/E5Rqto8MRNgzx50wwCACOHTVPDgzxjz4J5dC1YwBw3isWOh9Rg6HQz1Fgf/nDp1CnP+qL5H7PzEQypjfX8dxZ77wrUyAH4s8hJWV07Ri//SSU8zSJrS19eRouF8eoRzxx3FRXYykp5eIc7t1jDAhDgnGoRoxiEAB8+IH+tjvU1EcsdDcxeqUER5mgzSinH/5ZT1WZEIv8w3rADODVJTMur+8YNZHGc/R6kHlVXug45mRBDGInI5KAR8J6JCKQuaEDgIkDjRhkypxCaYxU33jWOdDjhr4eY4K6YF7NBX1rHWZF7dJhXGZ7vzM1PdVkxGdZk9FsMsKaazBj61v/8MXVVSglfDkQf63ff6/j6GFfIK95i7LOnemaM48LrD4RRkL8o0eqHCIAjXS4o0fMNKj8SG2m66NqBahAKIKz2r6t/cabc8iAkwNDEZz8SEMtWJhM1DdjwiAy2vm3pLMecF54M5LW0yPNc/z1BIMAQKdzNDX6bGXGGd9PYCVNbYN0HWPDoEmzE1q/IVR/WIuFU4DW1VquvWFE55ixiuhGsg3iS5Lo5T500HThHJdUavbcCZfF0uNOicIUIyHiu95cr+usq3VBLwNxXrcvMSrIwM2zExIsvhPNpRkHJhnzxIEnTgQprBehPGBlgXVBr0Qi6ek2JiRnDVp7vAEbk3q6DSwLgzbLpcqjsUnKRLmiu8ugTE1JSeM+Q/09lsY6JKTGOuP9D8/y5gdFKxyXy7N4KVpAHznEuUJ89WsYTeHOu7L4JITGmzdpJuFLS0Sp5DFCsC6Tv0kxqKYaLdzLyofFoZ/8+UwfcdQVyMqKizgMUQwa9ehTq0EoDEQNgemdfqLP8elnywWmQtR9TCAQAoBf/qwuRLHQRE+bjk9WNThlTsIPKZlPUVHCWBVkJJRRUXGSrZemgaInh8ELiOk6xaCLF7g09d60SGOLRQQAFIN8xwA4dBC1crPmKCkMHa/spvO59npfpjN+r89PeSr5jhEMOrSvraUBCaOlbrcbbINwnpVagLEDDPJJaEggRC+lGNg4DDPtTgKRW+TKYTFrvVsEKiIWkkBi0YLlpHV7XR0jQmtrkUQ80IsQHZukdJhMUrk8u6DotrvnnT3Vee4kyopy8jl9bXFZmttFjLJxjPkLVRSDVq9FRwYSNo0vFnI43IuX4Odv1LTtW7dwZs633h6+ehgA/vgH9PMHgMe+Phlxrp7/RR05HEbBb+25/0GMFk1IiGAQ3TvNQ3QpSCGyqZEEg4exSUloPKoxaipEPvNUQTYJ2rEwTnmCulAMIuMLYGjyxUL+JAQAo5IQlQkBAF8mhPklIprzIYyrcPAAF2xw1epR4i+HMXjYXWhcxzOnzHPm4bN0ENUYn4T4MMRXkAUxFRKQENGvERKi8++zDWOyaRKaYjIheiG9Si8UKqC/F4aQJlnouf1+GOStZ9CznRX3MWycV62G2VhZTGif7IYeMSTUnPpMCsnE5lqRq2FZtI8mJAQAcSkpbhf36RGLmX6bxdFrHbD3Xnf7ivoa48HPLg4O4BwYhqlYP/t4ZScBIG5CAH/7c8sjj2ruvCvrzruy3t3UcWBfB8EgAHj9r61BYGjrFv1772DsR0xZ/07jTbf54hLdc5/PHJseaKQCxSCCRKPC0M9/UgsA//0/JJjTSKOGWp+bJ9+/1/j9J0MyQQh10CuxHf3FJAX/cHCX5aTHA0B0wuRDTn/NP1cARBcheOHCm9KZDzgvThEdGTkXfqTj6MEgADh4wBRVMESWa94CZdhf6iD0E/xzhfmpVqUIYGjULp+rBlOPhFauRSVrS4NODDIn6EHswihBDGco/f/ZOw/wtqrz4b9Xy9uSLMvy3nYcZxKynR0CgVIKBUqhbMIs0JYWCoWPAmWVMAsFSkggbBpW+TNCGEmcxNlkOl7x3lqW99C433N0bo6Or2RZ1rAlWXr0JOeee865575Xtn96J354jrIKma20JAZWzIKZARMr7gIjTsnYZ4EIxEgQaQKslmQ1jYbwiJRIqWzIiNKWh4F8sLeTHTQBMF9/XgoAQ70D5v6hobChH746kpiqMmg1kTHSXms1+9JjyGPaYmEl1gLFZmviaRyAhrf3m98m9/cNQ3KHn7m/P1j26BNTCQbhMV98UnPxZVwpro8+aB4TDDm8Ct2J//p+8E4tAKRnoqQXbvMQrRCiLxFqT2YJEAzyE1utw2fx4w8o88Xqc1x1AXG4iNudp94TT73GWPbuODkM3f9gHk8tNKpCCACwozS5xwkHILITv224TT+F08ZsHeNFnBGZEBgqWoK0Zdu28hPBkJGTsBFg+YTIE8rIScKZoxmzAvlGu/Qyo0L0gi6kGRLjqi4WFvpY6DWBthfKBqDGBN1CiGJRnH1USi5SYMQlTlOkTO/X63NmzDnvd79Mz0b2rLqystTcvHAZp32tKS2fu3SeNC6OZS1D3Z2VP+9iWbahVrd/d+WBPVV11ToUpCcWvLvZ5ljtfL9/f7Ds7w+WocCrJd+VHefPKi/Tl5c5KDfjfM1RzxJtxKgjPR9Am8Potucrh1YIFAkQKvKrDWMMAgDS8O72EhPDsEWMNLy7vhur0ehDt91YKjTFbQmcKu0mRjFCP6Qx1mXXnJeA37yJRUvihobM23/SbP9JQyxipMEbPKkOA0knZDazJcUcFixdmX5gK8qvaAYNY4lihTYXM/vnZ7SazsS4JCsYQdANrDXftGjAGlQ/xCIfIwOAQgIp/VArBoQ43Z2GOYunN9Vrte3axb9Yo1CiJNFLz09/81VNlFxh0HdExCCtiVQus5gsVaeaIqLC+gycQ0/9yRMW80BsYkqMTK7TdORNHYM/GmYgchcyhazseOPUmUgTlpsft3tHzZ4d3UUr0srL9AVTXTWEb/2mvewUArKphcMy+jzyIJeA/5EnuHh+rBAiV8eNJ/9RyTOTvfAsqhNiH+/204/o+/Sq1cr7HshzrhYKARBPyPiQLhXp9vdIhyuHOkeVAE0/VRVdUimnmJk7j4t8HnUFFwfw3IN4s8reHVe10EiOQcSYglUIvE26fvjO2w148LXXo9/YPn1hcxh2FfJD0xi+913FKM4Gv5YuQxl9CQOdKu3G9OM2A51Z2PEy6TOjAAAgAElEQVT/dDZIGoYcj55MvQGjE8Iq3MXL0vDbbGZVefkiiGWFOlbQY82g6Pi5YQxC+YeGyHsIGDMyqDH9rKiPRXXHTAxEW0DXBwdZlK2RMUF3b5e+vlqdmhE/e36Bug3rkGBfSVtiMuKPvq6Ovq4OlrXF7bfUIm8eM6rawfQZa02WXgBGIBAIhcKDe5B7Nf1SJYaXntTjtxMnITxFppDl5sfl5qPrpmcpilZwQZhJyS4Fl279BoXun3c+ClrGPHTL7ZmPPFhOMAgAHnmw/Kdttp9Peqv23kIYgwCANPB4jEEAQBr0OiEnIVoaTtrLlsfjt5MxQXDKE6eHcb79Qwe5H/9xu27Zu+KCa3ybeNr5vRAMgjNhR87Hj3SWYBAA0O2RxvP6f/hejd+8/travtpaW/Q+7+ySpXGeYFBlBfZA5a3qk8NdxVqCQT65ALXozh3a40c78JvqDjWRBAJJJ0Q/sX27mwxqq5nTLAah5UxSaW4I8ZgmGMTzHDIODYolIkQqxgQWuQvJrMU3xNYirO0SSBGBFCzQodMjlrHGkZGrtzZppXI5V+gDwKDXzZw/teTbXZahfqtAY8yojgcrgmhgmC4D+h0qlcsP7lfPW2DTDO3b2x4ZJSRrjtQoWp6+Zyf3jYqMWbl6DLUJySwCQ2svQBH+Dl9YCfHBO7XYScjhGB79vPBstb1mCMNQCH0cCnAyd/o5/aw+R0mrhSb4Sblo8/dgl8eO2so+zJrtajEsDy44tqk/fG9zZPnhe/U5a7jfn4SBamv7srL41U/Hdo3howkD4Ub+lPHI8VE4LWbcYIjc7vGjHTNnh1IKEXkELAk11LQKRIAcnIVG5OuMEkyPqN/C0fXDYchsHLKIJWEWURcwZosRGAhnUOEOgQCiECGBqK+rpa+rZaA3NTJGtuK8WfMXIYDYt6eNZUHT3BYtk+ua6rEgTxwqT87L07Q0mDv6TNAjgujI6NSkzJzODi6N1fwlyOXomus4Xc4j/++E7QkA8Opjl59CupmCQqQ1RT7/w2Ho2htzyNzlK7gxpIc0Nr7B7e2mW2yxZuSskwbWRmBHaTyMZxdzMpc+tWr1xDic0nvwepv+heUj9bXX9xxacEwSII7SxDQGAF63jrmypfJ3xAXXGsvf8ZXrNI1BruzHP8c4gaGmJvTVFOU6sVa/Huf900o1J+ZFbB1zb2+HDhrG+smcPSfu6M+cj6nraSHd215gzQpInRD2FurXWTkD2bmMACwGHTqlkLWs2GiPgzEDy7CiXjABLj3GgsACgxFKhUHTLoTooY5ukURsNqMI/H172o4c4DQ0uhqUmwdxjyQmRiYf6O/NKpii1yjbTp9kQBCfnDFnQU5dtS5vasLJoy1FS4flAZp9VvzRIzZT1MCAzcT28YfNeMflp7Q0DP39H2Ooy0EwCAA2vlF/0y0Z2EBmLcQ9okKIlpR79EOvAADffct9pTvvfJsyjDcGAB687xTdWV6mufQKjvauuppLQ0wPmKg2jUETtYfQdcdNAnPnybBRbKx/bLy4w/J3xFOuNVb4DIacbJXEGeEAbCcjJ/bUSDohgkEA0NTU7yMYIikWRy1ET0tp6bJ47CpEMGisX6uIudY9GAIAJ9+i6a1OnnYgZVYk0Z4lxY0nD54c7OjogsMWMJglFSyMaNklBjL8UCnVkVAsETNDSaxYByBkjFJrDJpJADIGpLKIBab+HnGkLDwmts+gC4+WRsbI4hPj+3uHklLjTx0p62prGATkHy0CWUR0kjwxMU5pUzZOKVQtXpr01n+OAkBGdnxFKYqrLzlyKd7DF5+hzJDvvY0IIDVdNvss5fU3IV9CgkGf/ZdLIIRh6NEnpo7pE0mTEJ5orxminYTI4thv+u2Nw+xxeG9kDM865tBvmsYgPNEJDNmTEMrH7X8wxCOhsf7yIgIMNTyUwOFDnNfO2XO97MhMb2xwEH35CQsbUdNMD/ZpO/9aY6VvYIhWC/nOOkbcg9zwmCYGMmIaQ7kcKQ8hV0hoTGohYiAb1TRGMAg/fR4M0Tohr9MkISF86THB+s4d2hAG2f/ABpJOiE59IU9IMDBMlx7Vw7C/q5F6KAwCscQMbAQr1gMrQU4/wn4wi1C9epAKIGKgXwPAmvp6uvo0QpBbBk2moaE4ZZzJZC47Vj7Q0zUEGgZEYYBULMaeboBETSsKm1q4fNqK1cm/uybthWerf/nrwuNH1RiDgGUXz/4ktyBp7YXpV12d9sVnranp6Pf47LOQFentjQ00cPz6N1zGoCuudJA78cP3Ob0RAFz5OwcDRrp9uv+RJwp4METCx+hh9u0//SWHhiGHTkL2s0bqcYhBIw2e2P4JMedP7C37+ur19Zz9IiMj4q03OXsuzsY+0qUJBgHA4UMGH8EQxiAAGBy0TDwM+cxhaNZsKYYh32EQALgBQOTp0wBEOkeiHzLAkwYGoE0bancXo9/nN96c5clqeK4T65jni9Mr0IQ0Eh6FMIiWGGkHEgmRaM/1QgYgff0Dr4hBZYI6AAuuPE/uim7g4HmeZsg6QIBCxFhkhmdMUSjRImNmWKHAHAEwZAKtGaUaYq2LhyEnaCa26uDB5Kkz8eJCQAmvTNArgiiJVKpprI5LQh45+4pL9xWXDg2uxsM6OwYTkxVtzTZbGAB88F7jVVenGTr4sSFXXJlC1EIA4BCD6FsDgA/fbx4VhohC6Idt6Gcb5aWsQ2EXaRkRjdY/RTQD8RRCvMvhQw/px+GauLNgqrK8jNukk2ETdQrDUEgb5BX5EwwCgGf/WalQcIGQOBu7Vy7hlUUmHIYqN4vzrzNWbvaJw5BPGcgr8ndvkdTUCGIgG6tpbNMGlFoWvzZtqHUPhiQSwYljyH8D19Y4s573/x+JeLx/JZdXJH/FXPkT5vKqvh048bpfN+7v3vtzrWYpqQiiBWCzSTlZSiIREIWQWAJWPBJaI84sjEUCAhNjlDKmcDCLLdBlgQEBhIutKwsg3ARchIU4Nra9rqav05CQnhUZm4Siw6yvoU6DPDG9W6/V1dXoamu69Shzz+EDXPlV3q62fjXM9sQ7Sz46pMEbQCuEeKcA4KXna156vqanx9zTw/ke2WPQd982l5dxrtxpGRE0BgEArZqyX9/1HtocRrddXwEA/MpPCO88hEFjeoLuDSb6IfemB9+sys3ivOv4X5yC7za9e0epqRH47d1lyWq0OYxukwEzZsl9hEFz58nIm1yO16D1Q7xTPj0kGET7e/j0il5ZPMB0QuSe770/d9/ulbu+/kKAqoYBz1GaDCMNFiwiCRAYsvZbC9SjuDMzmMMYEAOIGQ5uGDEkGIEoJwYGoN7c1RMGqihlikyJIraUqZmapjpTVxcLrEAg1NXXhMVyYahDnZ0lu1tXn5v24zYuD6RBj8gjISmhoVabnjViwBfe7UgMRO5lpMZLz3PeRXhAT4/5D/dwVraRpvi03z0AKpiKzIV+yEC+k1VNjS0zSna2N6OCfbdn765MFEKjLnv2XBkxkPnINIbdg4iBbJytY998hbJ/XXChS5ENtLj6+rgvP5GRo6fnoCeG2iNJoK2tLykpsuwUSts7tdBB1QuHAAQABw+MdwIq+hZOlRoKpyFUojtDbecSCFQSen59dU1liwl6LNBprTuGbhODjhMqGh5Ib7VuMYNousDEMoNgDgMYtBYgSzCC2gJ9YpAZQc+iTjCCLlY2NXNKenfnQIdGGxsXJw6PTk1cuO7Ohe+/daTmyOHBrk7mTN2PqvL2xUuSVp+b9n+fI0VrrEwWHoFSXOs0usKZyVddnfb2xvrrb0LWNJ6HkPOnhR2DaLXQqKYx3oLfft1UdhL9qtVqkIvGkmXJOLiMHuYttRC95kjtJ54p5LkKAcATzxSOND74+mkMCr67c3JHGRkR2ECWkYGyt9Mv565CvgMgeg/jDED40hiDAOCbr9p5MFS1WZx7vXH9L5Gd/ZJL+RnFCAahpK995hAM0Y9yrO0bb87atKG2rQ19P1m4eJQvrg4XnzdfNiYYKj3J1UiYNt0Bbzm8hMNOi4UtL0MWDIuFdThgTJ2kpj2uZk/mfvQB56jq3aqXZP0JaQRS7BgtoIvP3358//Gejro+KDWJTwJjq7bhhIQILVFLRYAlChgTY4xhQMKgZEIsA/JwSLWgZNMoTl4I6Gt6ZBgK7b7o6l/MW8B9XdvxU/PCxehX0p7i5p8++da6OHJulEilmQX5162bfcO6jEceLP/qMxRBFhmN3CCmzkjGl15UxMXVYx6i9uN+k6cTAgCeTuiHbRpMQqokpL6qr9HmFSQsWY62RHIduXF57H50zrnuJxCiYWhSYRAA8EhocuqEAIBYxJxjkBufzwCagkmo7BSnUViwSElyJX/+KbK2//ll83N3IZUPD4ZoEkK/bbykFtLruHiUOAVXqyiAhOnhVrEqiCziUCdEzjpsYBiaN38U3QzBILyIJzB0YD/n9oCXmr/AJdcRh5snGITPEhgiGIT7HcIQMZC5bd9wuCWfdgaqTggLRQRSlBHRqGAlHAk5xyBHomQRBlnCWFE/WMxgEQtAEQZJA9AYDhlG0ERAthl6LdAXHi1lWba8tK23hzPYN9brMAkBQNbsOQadLl6l1Gt08YnKqdOTMAahKPpcREstDZytrbpSk5Nvg4a3N9b39Jjv/MN4mLFqqnunFMinFMj37uF8mMhXh3c3N7oHQ8QL+4dtmnPOVT73zOk/34e8uMb0mmz0QwsnOzuSB0P02cnTnswA5PpTfu4u4T0vm5+3wpDrs9wbSTAIAPS6ockGQ1MLY3gwNFYxjspAY11wwsfzMGik/QQQAJFbCFQSWrgk9fj+49bciQMgHMD3M3YMElmdps0sYwSGRQ5DYAKUqFEHMGgCLQqnB2TeCofMgZ5O42B3WsZCAGisQz7RBdMT//PSTgCYNTdPIGBkCkV6ljK/MGnlOSiy/TcXFwNA4bSEGTNV3/zvRJceZ/bk0kzjDW//sQkA5i1IuvO2QwBw4UVpTkphkGc2UuMP92TTaiGeQggAbrk9843XUELIRUVJB/e35eQrl610Mwjffg+fbanHEbnPPYOKrDnnoV3FuqXLhtWCtV9w8vRgGJq02iAPHzStUPSpaXXHdi4CdMVKdywmY73NBYvQ96Xdu/RELeRkBawECtnFnIjI9VNEszJ/gdyJk5DrC07ISDcUQq++zAXN3XGXF3IHTMhdu33RQLWO4SyL/3ro/V4oHxIeZoU6AOOoJDTcYxoAFegQorr0gOPIhMAKGRCCKcxafCNaDAkm6BBBohAiwiBJnp4uj1dk56kwCem1elWysvpURWSsTK6Iu3bd7HW3Zr7/buPePSjj4pEDyF16zfmFRw4jBcyxvQcBICJWvmwNisNfVJRIMKi8jEt/fuFFiJOOH7NZ+gDgvgfGrGJx8mnAJIQHHNzfRpMQ0QnhdEEuhspjndBnW1AymJw8mx7YCQntKkYciV8hHjojidD/7kiAh0F4iSeeKSTWIm/ZiQgG4Uv4FIZwKXV8IYJB2DqGO+95xVy73efp12mdEAAEtE6oeKctjwmuroglaf8vwSB8yg2esF/TlZ7Sk92e2MVcuYTzMQSD8LA77soiBjJiGgMAWi3k0DTm/Cp+ezYgo+iRKoiF3TsawuUyIUQx5hgrzYwiZDsMwtU4GGuxDjPKLQQmYCxgEaKU0xDFQKwZ5RMKCwOVNK5AIo0FYBiGS3Om1+pZllW36mLk8QlJSrFEuGeXg7D50pOo4kTVqdORUnlELLLaHiqpEosFhw6om+o5ACL7/upLLtaM9ADAr9Zupw89bN9yeyZZwR6DXni2mmRNpNtkiucNGoM8Xy20gncl8Ld7T/3t3mHFT7y7vndXc4hB2GWYXIggEenx/wahH9LAjkHEN6h2e2r2DT4PqqfRh277vwB5O6QxiHfKR4f79w3z13HlKn6FQXjDa85LwG96/4R+SIM+G7jtgLSOPfV4FS5N2tKgBhC0d5xmjP2sxEHBDUf0Qz8sxppgWgSsAMAMrEhgimOF3QBmi7CNMQ+IId0MkJA5rberIyZOYbFWHwOGycpTCoSMUChQt9rUG3hdrBCir9Hewo1hGFh6zsz6Gt3SFchJmS43hsdfeFHaZ1vqc/Pj8OGenRwYrX8a2ZvuvT93/dOncS4lev2xtmkYGutc+/HYUZpO228/ZvL0tLZyhtqkpPDAumsagHD7yfWTKILP3x4WzUD03ggM0Z2etOmiEPapkAMagDwRC55LK4RIUWrnNRkJA+3f17FgofsOy55v3sMVXn25diQbWZAxEBZUoOqEAGDvrkbWGirIgASEJkdxYSjPkFOTmQWYIQATA0LGEs6wIlbYBWYxA2HWiHowQUck5Pd0dkRJ43o7OxKSVUKhoKFGU13RftPts/MLURCZ2WRSt2hIlqBXXp+HJXvW/LTktPjWJptWFgDqqm2Ha9ZyPkMFUzn0AQAag1qbtPh95FDblveOYB5a//Rp3PDwgz5R071oDvvf5634PVH3wrsuwSAAoNu8YX54SGMQ2Z7DTnJ2sjVWrIzHFjHSmFgJ1Lwlzr7RU7UQjUETezs+vbpzcxjv0oR+SAMACAbx2ry5vENCRbx+Pzy0hx77Hj/cthe3FKgktHcXpy+RxisZiLCWDLPWzUCFw/g35RSGTMCYkMc0KwSzxKocQlYzASQIID4MsuPTpq26cIkqWZk9NT9/qkokFojEArFEONBvmVqosJjNvV0dLMtu/3oXxjJrCorEhYvR+1eXZiWnxRu0OovJIgmTSMIk7S3aabNsdelpGHrl9blrL1A59Ao6XY7sbkRFBAD+BkM8ryDeIe/zunSZgrx5p1w//N/nNlsk3XZ9hdDIYJUA7RtEtz2/X5+6B426veeeOU3eKP/CJnGWxzA06kWDYwCBIdJwcl/zF8hjYkQkcAxjUIe+H79HgqGTJ7pOnuhysqyHp7ZtVW/binwtxuE12TDIWrJiHOTqy0t0atUClO9HiBJNj/yyy6lIhloQA7FCsEiQG5AFZf1hIJIBiQSSwkGlTEw4Xd4uliC6qq5srz5VjtJ1xMg3vnZYr9bMXzbjcEkZAERLFSaj5T+v1kllYpFIQNKypWdGxylmk4sNDJgLpsbt+BFlplqxOsVhtOF9D+Q+8xQyh+FXbkESJqEzHT7835Pqqs7px4ebDi09CSSADeIA8MBDeeR2HablxGe9C0DkihPYwCGZZAM4XUWtFYZqN7lZkqxoSdwkUQsBgCsMhMVLGIg0OvRcqWAA6ND3y+P4uUAJA9VU92TncFWYvGgdIwy0bav63LUJ5GPgxcYkpB9aegHpJ/TAQ3kXnYd0QmlZKnVVhRCiUf1UsNA35nJbgOLnUQ1XMUAYgJmB6DDItkBvrKwAL5KRo2ys0+jU+t5O5AcXGcNZf/u7OytOtsQpuWjwhlrNz9GiE0eaw8JF7c3qWJmscBaK7zhd3lo40+YYtGdXS9FSdNjVOaJy+74HctczcOTQsF9wUdHio4fbZp9tUymNdI+vvWKrIHj7nWOLhyQw5GLs2Eh7mIT9SUnhxCgWcH5C/vy8CAYBAG4THrKHocmWm8rZ9z8XHiqGIXsPIRemhoY4kMCMmShp7fQZsQ7OudtFMAgv4DsYcneDwTAvIEkIAf6q9OKfUCnThLz8mqpyxiJh3Sy2wyBfaQCLSM+YYhiIFIJ0CJojAWFQjEyRkaM8sq9MIBQIBMyAlYQYRpCUkdWh1fV1tbTVQ3p+Pv4gGHQdJ47YaKzLYDh1DApnpQqFQkPH0Dnnpe0ubkGO3lYMGvWzc+/9uVddhqLxURWkcNGZkDXAMOTEb5rGIAB47ZVaN2Bo1O1N+IBfXZJEjGK/uoRffGCithcCIK9LnsYgh4tPNvThCaFukzjzJmPdxmHfmnhjnB+GMMiJfI4eMTQ3dnV3DaiSbHUwnDtNO1nNvVPnrk3YtlVdsoczjT3yj+nurROa5UQCgUpCf/kryrKzZ2djlw75IDPmGFZoc0a2v2F756EzY8yIhBgzMAJWPAjGOAsMEAzqMRi+++izSLlqqK8nQio3mXrRrF6mpQ7VOo2Sp7BmtvrEkbikTHm8PFrKVWBtb7ZZc08da8rMHXMxRby3Dz5Zghub32rY9o2tgv3Rw20A3kwydEYUAfa//wBQgAnObrtPri+0948OxY7ZyclPO+o2egpDXr+xIz+j6lcAcNYc7rei1y/hyoLffcv9KpbH2aqFzF9gS3vmcBGSXfroEUNmVlRmVvZ7b9uKW9ubxniLeFchhBcnGAQAn3/a6vUQQt4tTMLDQCUhAPjLX3P37GyUKZXd+mQjVFpdhcwOnaNHxiD6iTPAWBgQsTDYBxWRMIVhBCxrMUFnZ4eBAcak7haLpZKYmEGDwTjQExYZg81kYkkiy0LB9CStur+tRZ+RnWA2mbs7O2Nl3M/b3AVJh/Yj994ly5KJVzUA3HybLbUPTlflJDrx3AvScWX71ecOy1JN30CoHZKA2xLgwVAIg9yWpI8m/vm+XJ6rEH0hD21k9FKetwkGoQSzP3dOFAwRDKqsQI7MCxaNITM4rjJmMHAODFdfj6ohLVpsC/LlSckr9LPxDZSfFgBuugUV56Zfs2YHZEZ+T4qF07c/Du0AJiHEFivSSgRMW4UsHOb0m7tZYRsDAgJDrgEQzjTNID9pZCMzMCYTA1H9IKmvbZOA0ohqboRLQMWCxWjslsWkRcXK+3o7IqOlwEJKRqK6VadKiRcKBRGRorUXFZad1GbnJ3V1DvuZmbsgad2tNu7hPVeStfOjD5odwhBmIDzrx22N73xYxFvByaFD09i7mxsP7EMV6ecvVJHU0k4Wce8Unc/au0mM3NtPaJZzCfgn/TzwUN6oBjLn9xU0Z50EJdRvFKevMza8OWYbWelJW7jTtOne9G4JGrHjG3GCQV65U4JBALDxjXp7GPLKVRwu8tWXbRdeNLr7qcO5TjppDHIyzE9O8QPO/WRbrm9j8bLUiHi5GXqsgfQ2DLImkLZ57Thd0AJgtHoLmYExsuJuFnpZVHesfQAaBBAhARUJTFvzy1nxKkVyOvqKkJKRWFNR3dOFCkfX1+rkivCKU1qBAKZOj19QxNXzWrkG0T225TncA8EgfJZ3iDvPnjfsY/rS89UOl8KdNPrQbTLlw/ebMQYBwIF97e9udpDYmgz2pLH1qzr8BgCaijxZMzR3AiVw+nTP6dMO8pf6ekvEPxpfiHfo66sHyvoNbyIY8mS3NBV5ss5EKYF4ez7vfC7GKn+Km4TnU/rZW9KB3xh9eJt3cuhF09hXX7Z99SXyRsX/Ormo56f8HIwCWyeEHw/LWsIg2Qi1LGisJVT5Tw1riZyqiKylWFEBMgGDwulZC7QxEM6CRABxYlGM0dQjgmiJDDnN3faHswGgp9v06gu7rF7VcTp1hzIRaS8vuTz78y2cRXlBUcrDj3LRZ/wNjf2YB0POF3AIQGRKyW5bJh7S6XZj0wZOowsAN97MKXUf+3v50UOcuzcAbP2qbu2FI6rE3L50aOJ4SoAw0OnTPbm5XJzwuG0gRD8jiRp/k/GdZnek67rY7ydUdNcfcw/sR19ZR3US4t2Xj2Bob4mtHAfd5l2dHHqRfsiavIaPNEPkKlf+zmvVvsmaXmwENgn9+b7cX/9iu1ShHNB1sGBT89ICcgGDrCmE2AgAxEOsYIhBdc1MAkuiBBLN0MuaWBFESWJjpApld5fx+62NS5cnR0QK/vzg8nc2ngAAnbqDKI3kirDU1IjomDGrqfGeHVrH6Nuxb+NitLj//gdt2VZwzUj7XHCLlyR5C4ZoDAKATRvqCQzx9rn1qzraQPbowygtEwD8/TGvwSLvit49fOKxSnrBBx/mAgbpTg/b9fW2nCUZGfyEJWNdnMTzA4DXI9omBIbGKoHJMJ4odHGj4c20tJuNjRvc/OXjRevYhAMQLqRK1EJuMNB4fn5uuiWDto6N56V9d60rf5fi53og+t4Dm4QAYPGyNLOZZRimoyLCidugUx6yCoHpt9alFwGIWMbMmMMAWDP0AUA3nIyAjDAh8oA+Xd6WW4BsVXuKW4uWJWXlIC88gQD5GFWVqTEP/XwIByww72w8kZmjWL4SZQ+6/Ar0L3m9vdGmSgmP4J4CD4NwcWAnCa8+3dLyv8/qAKBwuhKv/PQTVRiGSOnsHdu19jBEtuG7xuy5ibRaiL4QwSAAePThcv+HIR4GAcATj1X6AoaIlOrr+z2BIRqDyJqhxmSQQOMG8ZhgaNr0WGwU8yIGTbicST35A/s76KIZE74xFzcwnk5CZEu+cBXycz0QufdgyDGNb8ag0Vgb/JxCxHsaDyOHwy1lJoAIa2JGC6pFz5qBsQggkQFJGHAOOtMXra6rqGqrPqltjNGp009XtE8pTPpxWxMASCTCjCxFfa0ub6qy9Firtg3VW2UYEIdJklLj66rR4fKVyU7y+gz0m66/iR8sgDEIAF59uVYsFhiNNp+nP9yTAwCfbkHZifDr1EkNgaEzfbb/eTBEPp0lu1tffm2ubZy3WzQMzZ7LSZLGIHzBgIAhb8smsNcbf+tYYMvL97s/eVw3fSYXXtS4QZx6s7HJZc1QMDGQvaT9E4YWLZYTo9iixShV70TRD/YQ8gUG2T8Lf+4JeJ0QdkY+eeiEAOIt0MiAkLVmSnQu9OHFN0RWj2nWGj5mRimn2XAWTACMCGLC5NKhvp6Knw/3DVr9lIdA31oPDGyrrFx1Icr3MzRkrq/RXn/L7Kcf3iaNQyFjvV3IBtynb+3tyoqKjR0cMJqsHLNyITKl5U1ViUTM/IXOkgwRDCJ3gemHHDppELWQkzEYhggSORnp/NSNN2fQBjJ70xgBIC+6TDnfklfOHj9ms7TOnOWmu6UnO/FEIYTNYV5XC00e+tm3F/38LlwUGIXETx5H37UA4ORxXVUl2nNefrQ1ENaTD2Bors8lgAHI55cZ7QIhBsISCneLfZQAACAASURBVPjYMRyZNaAzCEEhGEoDEA3X94z2QUDnLVY/ayGg0q1WrRIzaBGpLdDdCzX6jkMDg83dgycsgNw4UJAay+jrkU3KaGSHBi3VFWoMOgDQUldtsZgHe7p69ZzChmEYdStK+VhRavMg3ruz7KN3S/fvRXHso75KT2hLT2i//MI23fkUbB2jLWJ02/lcN87eeHMGBiAagyace774rPWLz7zjGE5TkRvycX1KRkYEBiAPMQhfEfsGJSWFe91JyPU7CsSRGIMAgDT8+S5oR+kpBdJdO5FqvKqyp+kNceotHsWR+fNdj2lvgWgdA4Bvv27H7zHdbGiw2xIIBhJCX+B+sTwcrI44KP6Le7mMRNjwZLJ6+ZiAFYElkjFFsWAwoQgyoRF0YlCIQM6iIq+MaahHIo2NjJHXnVY31nGJrXf+xKFPf0+XaajHCMhVKFoq7dSjb2yVZTbo2VdcFq/i9NijwlDpCVvibB4MXXr5MMejMzdt+3/Fynj8tnX5rEVjEL7Iw48WYB4iDZ9d3LbwRx80f/RB8333HCnZjcBxJBiqr+/Hb9tMpy17lyD7HqcLjOGkVzAIXy/EQGOQu6OhAQFDK1YlrViVNKWAn8q56Q1xymSFofkL5OTt6MH6e9+3X9v+XtBtf993IO8v4K1jWPhFy1Pra+ZVlJ1mLd2s0AjQjzGITrRoHOIelNiWeJ1+dKyVhJDHtHUuy4KRgSGrKmjQCFgFPQCAq88gJNK2a7CvdLwKOSz3dukZRsRaEFeJIUEkilEo5QqlXJUsZS1QX6Pu0CGte2IKynKRW5BgNqGRxEOIuNlf+buUO+7KsjeQ0XvF7UsvT7708mSHsWOP/j8uOAvFZ/0DxWf951Wkx8KvW+8Yp5h2e+XQ3x8r4LkKectjGqdiOuOuzt3pF5+1XvzrYVXJ6BAtVxyTsXUMow92nfYdBp15PqH/QxJwRwJLl3ORE+5MDs0JSWASS4Bh6QIQgSyISy/c8cPXrw3BcVZsAKaPLk2P0kOfwSB8ixIJrQxDkV8AEmT7YqMZYywr6kVO08ZEXKBeDIkWGLCG2jNCiIyQ5OTNnmMymfUabV9nx1BXZ5hclje90Gy21JziYq37DK2pU2azLKtKiR/oN6ZnxddWtWMS6uvqjJbJ5y8pWL4K5Ve4+lpUPePD95v37EJapdMVSL995TWoxt51N6b//paD511gK69x0cWJWz7mlE+ffFT98edLHT4xGoPwgMSkcN7IdGuc9vm/cOauxJvixUMCQ55j0DNPVQHAfQ/k2ZPQ4iWJPAxCOTCpYHUAcKKDOX6sC2PQD99z1YvOWcPlavOiKEJL+ZUEaD1QoLgKYWNKbl4UkSRyFbK+Um41Nv/H1aD67T/huBM0c+WqEFQRcY53g6cH6u1FNcIB4LLfjGIHGO+NBtH1goeE1j99+vVnv9bq9g5BKStptjpBA/aMxhjECxwbrhlCqiAU8jWkRJoh0SCYIhgQMyC3KoqMYshgYYCB8DBISsyZYTGb5fFxmtb2/u7OSKm8s7kxTCaLlsnFYpEigauzUVdVyzCQNSV76nRVf5+5v9/EMExNZbtB17Fg2VT8EVq+KgWT0J23Hayp0qpb9bh/3uK8hYsTr7sxHQCIUYxg0Ccf2XJMTymIf+wpbjU81x6DAFAFe5Lb8FQp0m+tvSAVj58oGMJX9/BfjEF4kZPH1BdchHRdWC20eAmKVvOEhPCyBIMQsL5bm5Uje+jvUzzcdmh6SAK+kMDOHciYvnzFsAJbybcaW0aGIeIGd+iALivHljAzREK+eECur0lgiGAQnhuCIddlOKaRQWIdw/c8oNNboA+E/cg8hQpooJcVgJAGyKnbkNU0xoazoj7GFMGY5AACESSZoZuBMBGookTZRlOPWCIFk0VbXSORx8jj4xgBWravyyCOicnIR8XhhUJO1ZQ7JaFD16lIkE2drqqp0rU0aucX5Z09D2sUVBWlyJl3yrQkjEEAUFNl8wfC2yb/XnQxF3+Oe2gMwj0PP1DGgyEyN7gbNAYBwPRZnMJmztyEnw+p7RkISyMjI4KohZwohOxF9+G7tbjz8UcrACDEQ/YiCvVMoAQwBgHAzh1aGoZa/iNOus3Y+rqrmqEJvIWgufSe3dx32qIlwwpQun6D5AvqJ//ljACuzw2NdEMCQUJC658+jW9eDAlG5jiwDDBCADPtJ2QnHQEXNo9CxkTIUZoZROAkEIPFxIDMAgMCkApAIgHVgKk1XJIKJku/pUkIUeaOwdpSIwArDBMZe7rCYqU6tU6RoMjJV86dz9mbak5rMAaR636w+URqhqKqrC09C2mee7pNV166+8NPUSg+/VKq4oRCbLCDzz7hAqB+fRlydrn8imR7EqLnTvJ2Q33ffQ+gLNu8HJU8sYwJgPBcgkG8pUKH/imBxkYuYXdamqfZuv3zBnm7IhjE63f9cO58hU436Pr4YBpZdqqb3A6uQk8O3WgQDEIJeHfr3YYhNy4dmuK2BGh3GbcX8YuJJcVNYXKFEdoYE9bxslbNkBNVEA4ZkyAPIVZspSIWmCFWYOUhGBJCnADCoyAvSpYeLkhmh0xmy6AElEKIBmCN/R39/U09BpQqOlqGYsHSs+KXr0q++TbOGXnqdJsLTnIa0ldPKVQRDMIiW7CYc+a95saZ2XlojFKFvkPMW4DmEgzitYm4pxRwavCHHygjndg/mhzixuffrCA9hdMUxDRGOp00Nm2ox28yZt/eDvwmPX7SwBg0ps28u7mRlCxwOJH2DcrKQXnG8Qtrhs4cefT/6/+uJW+PFgpNtkqAYBAA0O1JK57W15FaaNTbxxaxlauUk9k0RlPRqBIb5wEh05jvBB4kOqF778+9pLiJZS0iSDCDhoUOXEQMC04sAeIxjdtnnITMiJZYCXKvZkxosCUSGAsDkVb3IEYeOxsYZtBgAGAlsbFdXWVIIQTdEkgSR0ihnxFJYmOU8XFKhC/1NRoA5N2MYWjLxyhEbee2UwCgSIjr6zOdf2G6foRvXTjJYdFSziEOH9IkRD4BhH5IDwC4Yh1zL16MTpyIy4rRLqX79naM5FW64XUUqjZjFgruHWkMfQsT0iYM9O7mRjo1C28z56xJ2EdVTOSd9fDw9X9zRjcP1wlNDzIJNDRwaq309NHVWstXxDtXC2EYsreRzZwVi12FcHDAZGYg//z8hOhnfJ5L8HhMZ8lfxCLTGL62QDcr1LHCLqu3EPdlCMPQGQbClUZEiHjYMKQTEvQCK2HYcDBFCSCKgRghcpdGwWJm6BVAZFJaUbdWY+zvtEalCcQRsYxAEBEjVaiQe8qtd88LC+dqfRDTzAvPVp84piHReTNnJzCc1cv2cP/4Z1Q6w+GLR0LYQEarf8gshySEXacdqojIxFEbNAnhwYXTh+VctqcczEAAUFuDMjVfdAmiQ/tho17alQG0q9BYFUIEg8iFnMCQvQbIW35C9iR02++zyJZCDTckQOuBAtQ6RjAI374rMDSqoBJvN7a9FvIWciAnWg/kuXUMG8XwZUKmMQfi9suu4CGhfzxSsemlbwcM+kFoHoJGC3Sx0MlKtFZwGR5Dj54EzijNWBVC1gRAYEQkBCLGFC2ARCHITNAqQDAEIogTQZQIYkQRCAKM/SgtkDQxe8rM/LZmbcF0FAwfKwtbsgyZunbtQA5uZ89LuPHmjBeetQV54af/p7/kvPgc13lwH/IBioxCarllK9Ei9n+JaRjCJAQAPBhyiEEjfdg2b2ogp3BsGjl02PCchHwNQw637UrnmEgIAHgwFCIhV4Q8UWMwDAUQBv3tXqQ8xq8n1xfySKi+DpWCBoCly7ikrPhwrP+qbje2h2DIkdQwDLW1oWwpAacY+/EHlP5g9TmhxAeOHq1rfUFFQq8++j4ADEIzi3RBDSwMmsV1gIrMo8+33QuFzVv1QJFgEaFyY6iahlgACQJAxGMGNQMoY7UIEsUQzwATJUsfMOjFEdIoWVz+DOSZu+pcVDn1j3/O+eiD5pLdrVVlXEKOy68q3FfS1t9nEoltnlgzZyf86S9IA/Tic9UH97WuWJ16YJ+thsaylSn2JIQ9hAgD2d3CmDtoEsIpi5wvwSMhnEuaGMiwpmfbVi7dzrlrkXqMpxPyWxICAB4MOZQ/LR8nUWOk/PVYs/vzdEJYIfTeO40k1xS9gVA7KCVAYxC+wdvusukFD+7XJ6hs+cBcgSF1O/J9TlDZEu4TufkhDFVXc5yXkxNJ9jn+jQBNp4QxCItr9TlKnFYNHxLrxPgLM+CuGCQk9PQTVSXFjSf2HRuwVj81QdcQtJqgzQIaVqIBGKITLVIPSYxqjbERjBHpfhhUt1AkAIUFcCjBIAMxDMq4CEJAnkBRkCdLy+jWaoViYWJGVlRMeFqm4tzz0/buaa89rVO3aTt1+mipPCFRoW7VKhMVLQ3tCpUiM4dD9ZrK9quun/3T90grw1jtZDGxNmX1SGoharfDmmP9xL/3TmPJLi4SbcEiLjJ/TGoh+5IaAEAwCG/u3LUJPBI6eax95lmJmVmx625F1OhXL5qERsUgJzsnGITHuA1DNAbhpUieBSdXD50KaAnYYxC+HQJDRCGE+0clIYxBeLBjGLrD2P6q7TfPxEqPYBDeBoGh59dX33PviJ4DXt8zjUGBpRaiSah4e9vUaba4/RAJuf45CRKPaRQkUtsmU6kM1lvv6UIeKgyEMRDBshJA2DFgdYKmJXPGQAYMiHoFpjSAQQZihSBjYRCsOiIWhljoYUAiREXNhIxAMNDbmTd7RuHMxJoqTe4UDnGqKzUCa24hFBvf2QFn0naLw8QdWmRKwzA0dUYSxiCU6vBAaVx8vEGvT0hW5RWo6mt0ByJERUuTXv937cnjKLfQmrUo8+GvLhlWKQIAsNsyjUH0LY3UxjqGxUuTCAyNNNK+3yEA2Q8jPTfflolhqKrCEBUtvujX+fjUm/+p9zcY8oR+yP163qAdg/CTImu+905jCIaINCZVg/gG8UiIFkJrK9J2Oykwp24fdAhD9CL+1n5+Pec/gBvjyUP+JorQfsZNAjbbzbhd0usXwoW3rrhuHgDIVCpGKBCDTMgVCLPGhaFq89hF2po6CCUQwiXoWWsV+iGwCJFVzfoSQrQAUMSTGNIFEG3VCUmMYIgQIDRhWaiv5Epq4PH436xcRXxCXHSszDg41KFRd2iQwahoZUFqpmrarKS1v0gPC7OJuqFGLVegAHhZHOL3A7u5GmE/fd/05Wcoax8AfL+1CQD+9znS4rz6cu2rL9ded1UJtlVt2lBfvH1Yui0MRt981U7eeJGR/t2/F1nlXFEIjbSC836t1qjVGhkG+nqN275FiQZCr5AEQhKwl8BICiF6JK0EotsYgwCANOhZuO0Qg9pfFSfcMXpQvf1q49BDMIhcy76HnPJiI+B8g8i90+5BtEKIDAg1XJFA8OiESoobO7WIPwY6OgagyQx9DIQzMMgYlaxYZw2St1gdpTEVWXVGqLa8NeCLYS3Qy0CUAMKFECGEjAGoN4OBgQhkPgNGAJFGC9IzGTt6xGGoCKtxyFx2AvFEX6/td8rQkK3d12usqdJq2jryCpDq6MDuSkWCvLURFRmOkUoNOt2MuVOb6tQikUAoFMw6O/nseQk/fY/oh7y+39q0Zm0qXYp15/bm5VbfajIGN357Vco3X9nKF/PO0oeLl3JKJqxpIAlMSazmxjc4cLnpFpeMWeeuTSAGMuwn9NTjqBAY/dr2bf2554+y2uefIua75FK+Doxex2/b8xfIiYFsrKYx5zcVUgg5l0+gn31yfeFYYQjfshP6cUUm6lfFyt8bNf+eeBtZTk4kMZAR05grt+D1McEBQ8RcEDKNjekTEgwkdP+DeVgtNH3ezMZa9AfV1NEpAqkJulAeaOgGczQrGgJWCIwFeUIjFRFjfVtlxZhYwaDAHCuAaBYZ0QQiiBZDvBl6racjAQRCiBwEtQX6IyCTsQhKj7V2aPXKRC6OI69AabFATxfSKi1YMb+1SW+xgEGvN+ghPTtpwaLEXTtbFq8oqDiFYKW306Cvr5empDTVa7o7O2fNnVEnRk/h8EGEccYh04E9VV2GTtZiScvO6NAPFi1DYWX793IuPvjpzp3PVZZw8WFffW0abXbhYRAAfPLflst+k0wwCAA2vlHvOgw53MZZc5OOHBq2bRRbV4yqnvGiYDAGAcDnn7YGLgw5FMJYO3lPaqzTQ+ODQwJPri90+0Yc6oHcXm0cJk4sAI3DDXr9EuSXuf03pRAAuSftYCAhABAIuEQ9aVlJLAsypaq68n9WXU6UGcV/9YAlCpgBYAVWnyGzNc8QKsdhVfkIAIZYkcFsGmAgYgjUIpRMKBKAMYImHDIlYbLewSozGIQgN0F34VkrcG2N9Kx4hmHPOht5H//+7qwnHuMS7UyfpSo7qcEVM66+YYa1rBj68z+lUHX6JDJ+hcmkciWXHhoVzJrN+S/XntZ06Dp7urr6DMi7qKerR5Uk21PcXLQsZcGiJB4M8T7xF1yowmqhY0fRtSRhSCB0fmTyJ9b+h8e9j44rs2gY4jkJ7SrW0ap+slrgwhC5BQ8b4/mAPNzqhEx/5CFbRnUAeOTxYRWIJ2RLnlzURbUQuQTJliQS2WUnI4NcaGj+7S9qIXqz99ybwzOHhfyEaPkAAMEg3A79uuDJx73DICEhAFiyAlVuR1mtrGFZTZXJ/XDagixcYrBEs0INpwTiNEMSKwNhFZG1LodFCAKjwJJqhPoe6BVDQhgkGkE3BO3mwR4xKrIRBQDJmYt1al2cUmExW+bMtdXT4El/6nQlSahIn8qbUYDs+o3qzJyEpnotruHa021csxalH5w+Q/Hys7tMQ0ZJZPRAt0GnVvd09cbKZVgtRK/j0Iv5ggtVTz2OspLMW2DDLHqWiz8zBLnEEvSr9trrOcHSS7nePmsuMnhhDCIKIdenh0aGJEBLgIdBiIQeKgsCGAIAbCZzrg0iGIQ03ybWw4RJmn+L4+80al+ZeBsZ/YhpGAphEC2ZUNt3EggSErrvgdxnnuKKsBYtT9u3uyltyrzaii4jCgHrZ8FojZNH9TRYcTenH0LlNay3j2qvmljBEGOKtFrH+q1R9PF9cDoc0s7YyCAMkOamu0MXI+cnN/v93bbkH+RRFc5IOHUCGbz27GrNyY9nLShfkVgirCqtysrPbmnSZ+erADiW+n5r42tvzt+8qSElXcmyoG6oZQSCGKlcGicdHDCW7GpZvDR5waKkO6gsI+RCdIMw0LZvm48faX1nk3Tl6tQb1o3io0Ov4Hn7gYfyeK5CDzyEci9hi9ioMBSg1jHP5RZaYZJLwDkD+Ug42lf8FIZ8dL+hZUMScCiBICEhAKBhCAAycpIYwZqGsn0m6DaCxgxNLJhANGgNFhMiBuKKzwNyprZEMpYwIaSwMMSAlAHJEKgBGDN0I19pQGHtQ9Aul861FhFTGPSGOGXc6y/sAIDb/oSKm778Ys2DD+c/8diwsLL3tyy56/ZDViUNcus5dECdlaMwGc0AYNB11AFccfVM3lPJzosvP84tYjabWZbNyU8sWpZMB1rzptCH56xJ+OF7NcYg3L/9x6btPza982ERPQy3sZc09hDCPTfdkkFchZYs54qg2U8ctYegj5ORtGnskkuTAshj+odtmnPODaVzdfJsQ6cmXgLYdRIA7n+Q+x4y8XsK7SAkAX+VQPCQEIYhLOcXn2OKf0JZemPjs7u1dRbos0AMC0awmBgGVapnkeu0teQqa800zVgYi4yBcBblYERuNtZsihEssGboiYDsfqgRgxJYNkqmEEuEykSFxcImJMdr23XPPfqZxXIJhqHYWNFdf8zGe9i8qWHN0q9y8vl/MvMKEBWZzZbUDL5u6bob04/drZUpFH2dhrikVHk8yvdYtGxsRHLOmoRnnzyUkIgSAbjyIlFjePBNt2Rgo5grc90YQwMQPT1QVEE/bENpxPG/IR6in2CoPQ4SSEuLIAYyJ6YxgkEAgNtOeEj7ijjubqP+X/5lI/OWMN/8jy2LB89V0VuX8GSdRx/mUqgAwN8fQ74To76wk0Mo09ioghrTAFuSmzFN87fB/3yyirxx+QsASM9CtiexSBoGSUKQCiFJYFEAy7DMEMNas0uDgGEjGEsUY45gQMLCgACk1toacjGqOIbsWUKIHkQFyCKiYtIGuzpK62/q7zM217dWl5Zr27kwqC3vHyMCefnFGgDYvKlhjzWhc3Ul+sNJ8hmWl7bt/qm0qlxN5pKJALDlY5QlqGjllGnz5iSlJuRPTcyfyjlTk2HvvdNIe8yRfrqRkChVt3aSN30q1PZEAhiAPFkhNDckAQ8lkJYWgd8erkNP1/8LwRDdE5Rtmor84QZpDAIA3qHzHbro9Ol8kdBZIoFgqLbxzyf5CWxw3NaHbx00aNVypartdOWQqcMMPYPQgOLMINwEDaygGywCa8YgFM4lBGUYpDPADCFTWm80FBqhiwEB9hMSQlRUTHpkbJzFbB4a7GUtrLEXpRcKi5UBQGp2dlaeau58jlpiY5GmDZNQ7WlEQlgzVF2p0bQhQxsAqJKVg4MmYh27/c4sjEEAsHcPSlN06nhbehZSGs2Zm0BMYzwGGumH4a7bD1eV2dILXXhJwZ1/4DRV5MHbN3Bi6Jtvy+SdIiVj//jn8Ut+z9uDnxzySCikE5qQ58Jzmg50d2mvy5BWCJHFneiE8JigVAvZo49fqYUcoo+LmiHyZEMNr0ggqKxjWCIlxY1LV6JwpytvQFmnP9h0YMHaZcf2HR8wGMymXgv0W7NNp5ssSAEjQAHzKCF1dNQUY2/3IKBOIYQPQpsqebHFbOnvQgU8BEJhZKy8R4+ivaLj4gyNjYxVcoNdhpzZc3hP4uB+G4Vk5SoxDO0rLp+/pCAlPa6uGrHR4KDpunWzHfoyLypK3LunrXBm4rwFqit/h5IJjfX1y1+l/R81x3UMIvVTCQ8RDMKFYyc5DJ1zrpIHQ5SYnTU/3cLlVbr08oBMHens3sb9XAh9fCFy/b/E8j8YO17ygo2sohzXbYQpBSgJbejlUAIOMcjhyFDnOEggCEkIpe/b3oBhCACy8pKXrkirr24zMIxRkzQI1tSL0CGCFBM0SQChhgRUUTK5obcrDJJNgJQ9LFj6OjuSs3Pr2utM0CuyVqePlMq72hogLi5z9uyWmuoIq0JIr9GzrCUzB3n/HP1ZzbJQV60pnJFYX6PLyEZKnaxcpUgkmL8E2YAb6/SkICvv6V5+RTJRCy0qSrz8Cr57EE8hxJtOH+Jcz3SPwzapP1q8vXn+Qr4ZzuGUF5+rnmww9P67yOEMAH53Dcp04IYeiGAQAHy6pTUEQ1ieOP3VBReOmIoCDwv9O1YJkEyzY53Y8ZJY9gejwTMYIhgEABXl3RMLQ+tuzbBXC41VLKHxk0ECQeInxHtUBIP27uLqV2TlJcnilemF84WovLxADPFiSIiAORJQKRMXypIzcclV7Bskgpio6PQouUIoEspTcpSpM8Oi5QBMZ1utOErao9fr2tTJ2TkMwxia6uJV8X3dhsN7y1599gdcejUzR3nqRFtegbK+xprkUCJYusKGNY11enq3G16vw28AIPRDGvTIkWxh9BjSJjBEGuQUbhAM4vXTh7RCiO6fPG2CQQBAtyePBHx0p6Q4DGn46EKTc1meLYx36EQmhpfE0j86cBh67ZVa+k2v8OUXbeRN9/th269MYw6tYA47/VCSwbel4CQh/JwIBuHDrLwkg1YXEZYmABQ+ZrWRxYjCYoFhWQvIlYrwWFlYrIwFiyRaOthjwImeGYGAYZCUhno6wqIV4dHSiBgUlqVrQ7mCZCkZeo0+RhavTFIKhIIDu0rxypk5yr4+8/W3zHrjrQUYg1afm1pTpSahZMtXptywLgO75uApuH35FckOMQiPoWGIbuOzvH/PXZswEgbxRqKyaPuQcxLvNdnUP7zbDx36SAI8+uEd+uiik23Z+x/MI2/f3fuXXzj4veG7y7mx8rpbM8jbjek+nRLiHp+Kd0yLB4N17K9/y6OdpolCyJEgWONgpwhiTGAxg9WYPciylrgZ86YWLUt97dnWbnWDGbp7emrFEJuSk9tUXZWRPwUlBFoyraqstUOri7JiEF5ZEibq6USmNADQq5Gmp68bORXVVXNu0SYTMr1dcWXKnbceBICCaYnlpW1pmYq331+MZ/H+3fB6HXHQ4Z0ih6MCEBnpemPZypSBfpTlCL+c7CHERmeE5Ob/IdOYveBCBjJ7mUxgT+eLSC3U+aLNYei1V2p5+3ntldrb73SQThbVFCqIIQayiTWN8fbsn4chGPKT5xIMsWMORfnsP0/v3dW0dCXy7cCvPcVN9dVt9aUH+qBGCBECVGY1NlaJQqVmLkDVwfb/UNw/0IRdgkzQnTt9lVgitpbuQAtorUogUi9MKGTW3TH3ucd/PLM8mM1mebxCEsb9BknLVJxzXioAXHNd2tsb6w8dQDokXDn1wD610WieM1clEjFHDqP+s87mKqo6oRByITcaH7zXdNXVaDMA8L/PkadU8Y622XNsRTmuuc4mKPv1sZlsEmIQzyKGXYXs5eN6z79eQEkW8OvuPw0L6PvgPc6SCwDkYZ0ZG2z/03qgEAm5/XRPHEffxGbM5Coeur2O/cTYPxm7XhgRhggG8XRCF13skruh/eVCPSEJTKwEgpaEsFjxn/Bd25HTa311W1tVFTBsn6nJDD3CMyQkjY/vNugNrbXiMCkwLCMQhEej2HiUiyhM0tuhj5TJ41VKREIMzJpnK/d4/oWZ239s/nkvlxorVi7LzlcxZ9AJYxAhIbzggX3qilNYn4xKemnbdYkpypx8RCRnnZ1AYxD+u+j5X0T67ysAREUJ8U7wv11dJucMRA+etO333230nIEAgMYgLEwahnhPyvNHP2mf12S4ccxA5E69DkMxfzJ2u0BCAEBgKIRB+HHs2K49dgSVMnXFGgAAIABJREFU0J51lnzFStu3TfKwQg0/lEAwWMeciPWPf8659EJUEwMlWsxONOg0A3pkwBJCtBl6IiFdGh/fVnOaETIofn4QhlASRVRpFVjG2N/JgJC15lcElXL+shlVp1CMPX6tWpNevKNl5eqUlatT3t5wNDNHuWJ1ynU3pP/rhZrDB9vPOS/17TeO4pED/WaxmKsaffRQY4cG2c6SM5I7tB0JSfFtzRpMQlblEJfLh/xR9BYPndk1//8QBvEl4ujYKxjkaGFbH3nitq5QKySBiZNA9wtiGoZuvzOL2MiIQgjvLgRAvKeEMQgAjh3pCJEQTzh+exjkJAQAi5ZyVqGS4qYBvcFo7hQDznLBGqGzrQbVbe3pK2OA6YdqALBAf18fiCDWDL0MCIQQ1dvT0FABGdnK3KlJS5bZEvwsWJR43Y0ocRH+Fz/ju/+U/e5mMcYgbbtOkaD48J0TV147Qyxm/u/zOvI5aKlv6e/pUiTEJSTFC0WCZVRwGQB8voWzoVxy+TADCpkeEI1P/msDR15ND9f3/9abXLJ8h7mXXF8nNDIkAa9IgI5yoJW4XlncrxbpfkEcfY+x53nORsYDIL/aqv9sZvtPnJMo3tKO7VpvwdC2rciPAgBcj4PB40P/uiKBYI4de+rxqqceryr+qQElbt7V1FDTBgyiHwDGiNylkZ6mZ7CMQfYixlpvtcOCCtezg9A4ADXWuHpUcEME0SxrOV3OJccjYr3ldn46ZnzqmuvSMnNQSXlFAldZbO+e1rqa/hmzVKkZSpkiDg+LiB5m3SchYw8/UEYu8fmWGkJFpNOTxq8u8WFmv2++asdvAKAxyP7QxVsgGAQAdNvF6QE0jGcL4x0G0I0E91ZpDCJpSCfklmlzGN320WY+3dJC3j66RHAsu3LVMHOY1zEIAAgSBYfE/OQuglYn9NTjthIcH2w6mJWHCMBoQhgEwERCOkgYRgSmvq6+PuSpagQ9A5EArBAiGRAKIMoI7RFgqy+hV2veOX75G6/Z9DrkEW5+C8HWdTcg/dBIrxPH2mfMUhVO4wqyGnT6WLm8y9A3f0nWshW2yHkag0Zaakz9V12dSiwv+O+rj2CI9oGl22PaLT3Yc/T57lv1eedzruj0yhPVvvtP2bSrEO0kRLykad/28d8n8RAfB4PgON/df161/eTeeofj7zDjvCUPLzcOANTzvDjyHuO7i1Ba/NDLRQnMnC0/fhT5Cc2cjUpoB9mL/orrtqbfD2USnB7TNAahyqbvHkIVMwSMQavp1tYboUsMKCeQETpNoAYQMMCYYcACGhGkoprzAGKQWpNNMyKIlUTJIqWy6WdP/eTLFbxHuPGN+v1724qWcYqWDj2XlOzwgbbmRlsGxatvmPn1/+pmzLKl0z1yGGmYzjo76ZEnhtUfJiRUdor77TO1EO3nsaeQpzYO+wIAH9EM7+7GdMijn74+W1g+XmesPzb2JOS6gey7bzlNMgD4FQyNSaTjPJhgEL5uMMEQjUH47tyDIZ5OCACC20CGZZX4y8Z/Xzss0uLSy22pYsf5UzrWyx35uRNPOWsO+p0foC+eHmgCDWQ0CQHAWH+r+638g9k6RoSenp3YqUVgMWvhzLSpqBjZADQPQLN1AJKAACIFEMZAtAUGACAyMl0cKY2ITBNZPYowBpHVSANjECq2Wtz6w9bG/7x08L/vcl7SZ89PNBkRCuROSbj6hpko0pXCIMxA9hhEVgaAqYVK/CadBINoJCJnx6Gxt6Rjbwn6ruPKi/cTwjv86IPmjz7A8h9xMde5Z8QlrCdoKnI+0ndnjx/rOn6MSz3lu6t4d2UeGHl38eBYbTJgEAD8+1rh79+xfbEJRAwCAIJE9p+9Rx4sf+RBLgTY/qw/9NDoQ7f9YW/BsYegtY7xHo9MqczIRZobjETUWYsAIiWgGgIU3M5ARGQkMnJFxMjlSqVe3S5XKtOzkS6HpxDa+AbnyQsA5SdtLkS7djQtXYF8tH/92xm4KD0A3HhzBgA4+WF7eyOyr430wgqhkc6OTz9hoL0lHYsW87W+OK7kVCmqLnL+L9Jwhhge/eB90gD00QfNv73K5oFufyM3rMsgmiFvgZH9VXzdQxjo+LGumbOGOYf5+tKh9b0rAYw+WDM0STAIAC69PPn373DV97wrzwlfjf6djNs8Jf2E75BsIARARBS+aAQnCT3wUB5tIFtQlCoU2bRfCuVMtWYvAJihF5cbM0G3AKKiRPlGE0o8HREjxxXE5i6ZVVvVvmxlOnbpeOFZFFz2p7/YnIcWLErcvOEI78EQGMIARM4+8kQB+cGjf94wBh06qJ47LyE7N6rmdC+Z4l6D5qrrb3LmveTe+jwYIuG1hdOQh3h9XZ/ry279ph0A1l5gsxvy5gYuAPFuBB/6JwzptEPoKZyv+nRLU1Q0FysUTNYx3rNwzzRGFhlnBvJi/BG5hbE22v4vTfIX49CztlyLY13BD8eT38Z+uDe/3dJlv0kmBjKH33X9dufONxacfkL4ngkMPfBQHgA8v766ZBdKM91aWWH1nkbQYw0lg3jV7LiEeL1agwPK+rs7UnKmZOcnmkycTnjREi4U/9MPj+Ni8mHhosVLkJIJk5BeozObzcCy0jhFSoYSq4VwUubHH0WXI6+H/o7Kd5DX2xsbDh20ObUAwCuvzyXeQsRDCI+nDWQjuQq9vbGhopyzYU0pkHuLhIhOqHgHYpe8fGR0//VlSAKEhMhN0QG3f7v3FOlHXoRn2az1J49rlyzjktKOBEMYlfAKI41BqTuOct4As2bb1vcTj2miE0K375c6IUxCWMgYhoISg7C3kIcYRH+Yfd3esX1YSLa3ApHc3jbzFyNLwRDOqejn+YSIUczeT2gkEqK/protq9DEwJJAcOqE8DPAAESexz335pRYS9OHS+MYAURAXL++QwyxIGLiElDoo0LFxRnpGSY7P7Gmsi09mwv12r2zKSxM2FCLnI3qqjV6jW7Riuklu1sXL0lKy4xvqNXMnj+lrlqta9d06pGFCCDVIQaRzThv0OYwHJiGxzsPT8NjCAYBQEV5x9sbwVswRPaMMYgcOmnwMAgZGT+svuxKpFQ7eXzYb3kni4x6imAQRiICQyFf6VFFZz/g0stTFfES+/4g6AkgBvJ/aZPU0l9+0ebPMGQPQP4v29AOx18CNpvR+F97/K/4yZfLr75prlyllCkR4kTEye956qp7/nHltTfPu/Zm5EmNX3Jl/KHdx3H76L7So/tKjx8orankqi7rNZh10Pmbbsl4f8uSjGxlXTXS6yhUaNl1v58bHT0s1IJb1/ofT0XkOqYcPqi5+47D9FKutF1f3/lqixbLFy2Wt7YM0Bj02Sc2Bynn08nZ/IL4Tz5ERkYAIAohcpbXoBVCvFPjf/jt10gZ5sZr5qxY8nZj+jhPCVYMGmcxBuXl2GfFzL0oPJZgUPDdZkghFHzP1JU7mkQk9MxTp5956vT27xtYC5uRkyhTKmcumLGnuGlPcdOm1w789D3fZ7n5dOXRfaVYiAPdhubTlajmPIVBAID9plefaytfungVihQjr9LjavImnbwGnWCabiPTmzVTEQB88PbJitL2itL229cd4E2f8EPaFgYAvEP77eUXxP/2qpTHn55lf4rX48Qcxhvp60OMQd9+3e42D/l6h56sT+iHNDxZLTTXWxKgzWF021vru7EOu56DITfm+tuUCYSeLR+34Le/yWTS7ieYrWP0Q33mqdMlxSj8obEWqXaO7DkmV6mqy5s7te2xCqTIqatqSc9ObKxTC4UCXbu632AwDhlYMxspR0FkLAsD3QbjkIleE/sJ4Z4p07iUQvQAXrv0uHraTAeJ/n7zW1tyDrqN0luLmJJdbfuKcYQnE69C+alvX3fgtTfn8xYnh0+tn/XTj5rvt6JKF0+tH502yERXGr++LInWA2E/IVfox+Hi3gIdbA47drST2MUcXs7tzqCkH540QgzEE4ifHPoJANHSQDB0n+J/i22qcfpsYLXpKBYU3js8u5uP7mXLx7YyRFs+biHVBXx0udCyrkhgspAQlgXGIBQtLwB9W5s0XokxCLlOG80NtcjCZTZbZPHxsvj4hlMHI2RcEFlcglKYnGg2meXxCrFEoFOj3wIlu1sFAgQrOL5pdzH6fC8qQkgkEDCbNtQf2OfAnsLzmMYb4wGQ/ZPr7uQ8ggVCJjNb4RBHyKxVq5WrVnMeTqTTWw1CP95akKzz7mYuUpeuC+s6LfkIg8j2Qo2QBEISIBK46OLEgPCYJhseqTE+9DPS1UP9fiKBYI4dIyJ+5ilUZrWkuJGQUKdOYzGjmmIsa4lVKLt0yHt30GBggImIj5MnJBi02oHuTtZiiZDGxSUos/NRiNPZ85P+8tfcm67dBwC1p5H3dO6UhKKlCH3oIqybNnCphr7f2tDcoBvoH8qZklRfg8bfcOscAIiJtQWjOk+og7PbvfPmidrKmli5XJmIdEIXXzZVmRBG7o7EcNE9/tO2d5p+cn2h/fYIBuFTNAzZDx7/HlotdP4vRoz5H/+Nha4YksCESIC5z8g+Y/s9NiF7CNCL0johAAjphPzhOU4KP6H7HsjlybpXqx3o4LS7mmrkAAQWFgCxEQC0VlbEJSQk5+RFyuIYBjAGWSwQGyu68Zq9LMsuWZaUOyUhd4rN1LV5E+dm9O9/1WzecGT9Y1s3vHIQrzZlWkpTvXbGWSkYgwBg50+29Mp0pkE83uG/WflcUfqMrLj/ferX6VB5++dxD+8QD+ZhEO78+MPmjz+0CYq37Dgfnv8LFXmPdOmmpv6RTgVZf6fBiN9Bdl8BejuVFT34PZ77Z58RM3/liguN53VD1wpJwBcSmFzWMVqCYTKkXxk0oNQ7AwZdeCw6DI+Lk8UrOxkOEM9aNL2mstVkYgUChnaL3rWzRUSlakRws725v99sNrPvbzraYdUwGfS6owd0Urmir9eYnKaYO999RULBdFX5yfa5izie++bHtbR1jL4p/2w7pB96q9dcl0bD0MH9aomEewQff9h8xZXO8lDT60xgG2MQ/jc1NWICd+LrS3cabH//Og1GqWzSKQZ+/AHpd1ef4ysD9JieYGVFDxlfWdGTPyWaHLrRePnFGjzrrj9yX73cWCSApnz4vu271pW/G6ffM1gJFPIQ8qvPyWQhofseyH0GoMTqMc0wkFIw1WSyJKerWhraO7XqAQOqlhoWK5OrEtqqKiLkCn27ek7RDGTPug35JotEDH5sCxcn7Svhh47v3N48f2Hi9h+ajh881WvoYBhmsEePkzRK5Sjt8tF9pe0tXEHWnCkqiWTEGHvehwMnuPvdNWlEO4KxgPZc9p3jDm8zocORJDDh2iCSRBTvkJdJa6Rth/rdkADGIAD48QeNn8CQG3fhcArBIAB4+cWaUWGI/SdSC7H/DFQUpjHIoUB82hkyivlUvGNdfLKQEAAgG5nVTPbsP5HbEAD8tK0OAKTxyMgVq0jImYK+E6RnqRrr2tOzE5ev4mLj77gr643X0Ej8wjC0qChx7562oqVJG19DOX7mL+RyJVuLdcgGe/Qm6BJBrMlkbqxT93d3qltFCUnoS2R1RfuO/Rdjo9g3/1c/Y5bNxHbmCg7+t9eLjBWAnngMGQEffDjfwep+0IUdg97d3HjNdWlEIeQH+/LOFr7/jksjvuY8lx73mK7KwyAUM/h4le9gSCoT02qhMW01yAYHEwzRGOT6Y0IwdL+RfTpQYYi+0w/fbx43tRB93VDbHyQwKfyEeIL+y185M9OqczOvXrcgpyAlTpWIMQgAFhSlpGcnrj53xHJdu3Y0G4csfX2Wnm7jd980mEwWk8myeyfSsppNFnwtcWSsEKLEkTH4MFIqi1Mi5RAAZOYmvPVmfWNDf2NDP8ag9U+fXv80B2d4jNf/xRgEAE88VknaXr+K5wv6m6O0i3fk3BxGMAgA6LaLi/vzsEloGvO3x0Gbw+g2b5+vvlyL37x+zw/ZpxEMeb7OhK8QwqAJfwQTuIHJSEIAQGBoz85Gi5m98oZ59dVtZrNlQRE2FbP4dcddWXfclQUAt9yeiR/Srh2IeBYtSd5T3Fx32hYkX1PVXl/dLlfGD/V29Br0UdJ4SYRclcEhV3xigk6tNZtZszVgbaSqopvfasBv734g/Bl9HN7pFVemEB0YaTgc6SedpSe7Ow2mToMpNTXCORX5yYY93IZUJsZvD9cJ9Ol+Yh3LnxKN3yPJ89WXa8kpuk06J2cjhD6T87k7vOtJZB3j3T+BIdx/5Q1zcSMiQrBqDacQ+ve/an5/d/Y/n6z669/yBgctJbuacWlVeqnMHFVdNUIivVojV8anFZ6Nz8bI5Vl5qqJlqfv2tBw9UBZvLcRBT+S1N7/VsHc3V9Bj7+621zeOmDuRN9GNwyceq/RbMxm5nYBgIAAoPYlK+eJX6cnuadM5ReCZvtD/NgmQP8P4C4btROC0/IR+PBHYqy/X2sv/rj9mu2cgQ7lInhYzDxjZpwLPRhaCIU8+SME0d/KSEAAQhyHyRPeXNK9YbSud8dP3DT09qBz9pRfuAABJmHDXjiYA4PFQZo6qprJ1zuJpRiOKw2+oQWB0zbq5d/8p+6XnqxcWJS9dkbqnuLmhVnPldbMBgPw9QNmuD3H+17HSYSmCyJZCjUCXAPYN+v47tS+chADggYfyeK5CvnMS8uRZ0B97h3+MPVk8NNdzCYzqIu3kEuxTgQpDTm4qdGrySGBSkxB5zPv2cLGUCGLOkBCpRHaghDtbXdGaM8VWVSMzV1Vfw3nCZuaqFnKWNYAVqSg/EUpQBH+4B9Vdf/Xl2qJlKUXL+FGaBIOQJ3Vle06+LdL+7Y0N3iqeSm6TNPxfIUS2GjQNH2EQlo8n6HPieBdeZMbM2PGUdgiGxlPaoWuFJBCSgBMJTFI/ISwRbCAjGIQCx7JV2PfZocjSMm2BP0uWp9TXqLPzELtcd/McgQCF2W//HmWXPrC35eeDbfI4Mamfylvtjruy7r0/l8agNWtHdNDmzXXjMMQ9bgjN9Sm0OYxuu77CBI4kGAQAdNvrW6IVQm4vrtcN0XOffqLq6Seq6J6gbzc19ZO32zdrbxpzeyl6IlIL/S0YXKfJTe3epcdv0hNqBKsEJkW1DecP77KLdpIBK1anvbfxcEYO4pvqipbLr0ZOP0QnBAArzkHIIhQyJMMQnvvdN/Umo7mlEaVc69LrE1IS1/2ecxi67gY0hf5LgH8TvfUmwqY9u2zZiUQiQXUlsqxl5SoXFSWN5FhNdjvWRkC4B431pkLjnUugZA+XyGpxEcodynvx6MenaiH6RwAAxvr3mMagN17nCtqQ27n/wTzSDuIGL3OVK+75tPePJ/YvF6XK/M3IPhl4DkP2d7d7F/eDg08tWergx8d+VqgnQCUQso4B7Ri0a0dTRo5q0RJkxlq0JGXnjw0Ll6TOX5xCwxD+JU5nGPruG/R7WSTm8iX2GrTmxIRdO1qWrrAVmbf/vX/DugwMQ+SjYzJZMAORHu82Qsoh78rT/1cjGERvdW8Jyqu+aLGc7vTzNo1Bfr5Vv9oejUEu5kv0cP/sk2LmQSP7RDDAkIeiGP/pb29ERZ9851Yx/nc0blcMkRDc+YfsV15COeaxNzQqr2Hk0gKRx4BhaMU56eRL1S23Z9IwhEdazGhiRKxC09J+CjlW20iILEU3dhe3MlzyalTEfu+eVpFIcHA/UgvNW6B66816r6uF6Kt7q41LUuPVLrrYlmHSW+t7uA4pCUdXyfVwzUCcXrJHv7goDmMQAOwt6Vi0WD5jZixWC/lUG4TFZf9lIBDF6D97dkUh5D+7De3EpxLADIQv4VMfU5/exQQuPqn9hOzlXlPZmp5lc1sWCJi//i3vr3/LM5nYOfOTu7pMdG4ekmQIAObMs3lSk2W//T++Dp+c2rShftOG+qKlSSwLLIswCADqa7RkwCcflcXEij/5b8sn/20hnf7foKnIH3ZLMAgA6LY/7G2c9+DQOgYAM2bGjgMG/f/2zgS6yura4ztatK1dFq0IUUiYItb2FYqCKaMI4ivFgWdrfVYNg1AsyIxQBgkS0UAYhUqZg5bXalu1RVxlUImAA4Poq62VMYkyiKtC+2oXRHLf+jyXfQ/nu8M3j/+sLD3fuWfY53euzb977+8cm4u99BsX2BwhGt1Z/XAhgOtKPKq5hQJomCmT5HCYXDY1iF+NZWHklw3hmhc+IW2/ho/Urhv8/PPErm3vfHpcex2sbUft0jHxpv2pU+e4iORsGyGGjh/XEjn//VnyP/6LL7nkwq9cUNBCS68WSUJiKOP/rD54Toj6t88c/uGdqntJPgJAORvJ+ETRbhlz6UNEnTpfmjZAFsZ9D7IY8vJO1iBrIP5eaWJoSl2iLNwxstAJIOaPglkCUEJJYvPn7N9W9WHDyxqd+ETLen7nrf9t2/E/vte16ZbN1cVdUicMKXxXLtO8Pvn5Fx45coqIGl+ZvJ66yw0Z3wUrn6m97SJeHOv9/cLOXfM5abr/kLZaDnWVlkPd5ppsN13LMkjItabNkvef33W3+q6+YjMeY0Ugkyso1BAmTi6S3xqbOLno+Mfaf4Dip9Hl3h3NxReyBvNOVuW8RA7un0WFf4MACGgEoIRoziztzq9fV+4U34iGl50jQXLKINErP//C9Zt79em5qcsNBXt2Hd2zK3laNFG2G083vFQtxNDAwYVE9KunaomoczctZPb+e8fFOY3de1yhdwgpX95393zctJk2graQtR8ZEUNPr9HmIqJ77suo80SDtP9cvDB1fv+wES04KGY5T4jtsWyS3s6SgQXxdAutXpEKy/YflPxiCD7hSpTW7ynXyC+LyTKIG6AgCPilfhJlUXALheVb1H9QgRwRQ9K02Y2LuxISMoip5eVpWTtGfubP2b/zzeQL8DfepImJO2+vysuj36/VrqYnopZtrry5T+GKpdWDhqT+FAmHkDy+EEOi5if3auP86qnajsWNOxY33r1L80798x/WI+7sOlLCZ7LseHpNrVkxJMsgIlq88OCwEdrtbGZ/XngudYKA3NeCSXJ3uSyLoZhkTMsyiIhWr6hWxJDMx73yO3tO8uBt232dyyjEh4AmhqbWJWaEO0bm3n6JkAIRif8nbHMiqB87AOOuhPTsWAxVHzjatUezL33p/H/9S7twQ/6ZP2e//PjyxtrTp+vbXau9NrVnV/I/+5v7pAQQn6Ty1uuHO35Py/j57nWpDOu8PJJfEzt9Ni2p/bXneKfkGY2UWQaJ8BmLIVkGGRlHtBH+KiIScs14x0wtZRn02paj7dpflqmlzXrPBNDeD/5PmFp01dds2hzk7vxltnAmkEvranT5hX65hXr2asQBsghcSeb4BiVmQAylh8oyiIhWLqt2RAylnwm1Bgjg3bEkpLtKkjewagcbFuW3KMq/Z1AH8dlFFyUPChKPBk/l+dP6Q6K9/JdDnECdnPKLf729MxlHW7W8WhwvZOTNeZY1Yqg1/9NJHjPtlWqyMFIa53xkGcQhvJxdjDdY90LNyROnK5e9u+Gl2g0vJWN2xrsHpCXLICKSywExzykzlC+z8phpFtk/lKmNzXqRG9To8gu9TBISNvfs1Uj82lwCuseHgCyD4rPqIK807j6hLZu1o6jET37TyxtccF63Hs22bvmwczft7jD+ueii80eN1W4Qk3+uu17z64gYmXAIEVG7a/P37EoFfQYNKZT/WvTsXbB5Q2rGt3cevblPxtxqeS59WRFDRnKDxCD33NdMdguZDY3pLbFTs+6FJI38pqmD/nw26Q9Jbdr3VmfORlIisGMfam2HWM6+/QcVygEyX0JjipHeRMe810DKMvGYloDmFnq4LvEIYmRp8aAyEARirYRmzviguEvTN7Zq18uLn7rT9SPHtDKYKiS6CD302WepCFq7azWFtGfXEZEhpFxf37N3wT//+bnom0kGyW6hylU1fH8Zv5O/cJ52FKT4GTFaOwLA4M9TlbX3ljRjMWRNcwwb0UJOFRJJQr9eq91Ta1yQ3dYvnwNk13w7FRqzZpLB5edstu6sDCKidX84al8MKTIopwGONAiI+hGuIG9kkCPcMIhLBBKPQAydg3bg4EK4hc4h4vdDrJWQgF/c5Rz3D+/ItqqkQurcremosa0eK9PefheXfo8a20pOFRLuopkzPuC+RPTM892JiCXLa69+2PWLO+qVk3aVCzfkEfTlylU1JQMKeEzRYOG8A3oxNG5CayUc1rjJhU9VarEn8c97S6y8MsYmCfUjzuZetODAnt0f97pZG9Dgm2tinNv65R/Y/xmPGepC0VVf46BY9jyhObP2ue0W8oyk8mVW5oUGUoDgEQSYgCyGkCTEWPwqIE8oDflRY1uxDCKip5fveKxs7/aq2u1Vtbf0fnn249pb96PGtuJfMcSkqakX5kVZSBZxi5m4zSP7Xw7ZFSTGZG9QGitzVcnhM7mcq1+az+UsaS4LGaR5v3ZrZ1Fu+lMyxUc4h9KMEvWqVzZ/In7117BEZunZv8CRWSYW4jgBzS00zfprsI7bE4QBBw4uFL9BMCbmNsAnlOYLsHDega43JF0mr2ysadaiyfaqVCZv1ctaasv4iWmyPWQxJI/LYkiuFGW9+tG3sVxjUwDJ87IAkivtl0ePazWvIvUi3uhxajKW/SlMjdD31iYiQLZrp3bzyXnn5fXpm7p9JctQivpZ+uQhcf742IdaKwGysDuEgimG1qxOpd+d+Tx1Eoar/31l+T7gIz2BxHRNDCWmByhhaPeuE8LO9tc21BuMmvgQiLUSmjT1KiWklUnKOPuFWLYk+VqZkpAkX2QmZiwZUCC7hThPyFl7bI7Wrv3lwi0kxrnr7iuF24yHTasa+VPf1Q9bIgp9b22yft2xDh2TRxisX3fMoBhSxrHwyKFS/P02RU+WQeKI9uJOzmS7mzIDjcNFgGUQEe3edQJiKFzb56y1cY+OydJHLjtCWZ++Q0St3cKuAAAX60lEQVQsg4ho+9bct6uWDCgQAohlkDKs8pjJcjkxSC5nam+qvl177ZK1TBnTijAyNXIEGo99qLX8m2lFLIOItPOlMjVDvSkCIGkKl9uNNbdQKWJkbmPG+KYJxNonJGjpBdCI0S05K7nHTQWvbEw53s0C5qGEXpFl0LbXcssgno5lkKgxqH64uyikFUDirCALwa/hI1tyqhARLa8sFrPEU/cMeaC5EiBT4Lv3WDb9bzz4lGltuBzbgvcOIY7wBs3BGcDvQKJUE0OJ0gDFyAJICSZ5TCAvoURoPJ4/DNOJt8Y4VajbjQVKuGdGaepPERFNLc3410hWQtplq68d7tQldcm8PjrmNh75yMScYoj/73X22E1aJaQQc3td9sdfv+6YGMRUaIzFkIWtZLxi3uyQeYGyDBKV8RRDHCDbVnVEVkIGMTJPCwWWQaIvxJARhnnT6xLT/BdDHCBDaCzTrgU/PSOT5abqoYRM4UrfWFFCxsWQv0pIlkFiYVnEkKm/03oxZFMJyadTcsaugj2LAE2/bQGrNUWYbdcrISKKpxhiJhxe9EAGEZGihIgIYkjei7TlgCihtLahkgnIMoiIlNAEN4tAIe55Qva3UPl7nHPAwUObc5vVv+o05IHmW7d8VF+fqK9PLFmcuuCd2wShoPyRZpNe3nycf7lSX3BQBhGRUEV67PoavSVBrpH/bMvlINscWNsG3F/oDUO9DAosk0AZlpjWIG86EoYCtSe5jVGEUe4O4WmBPCEf9koWQ0sWH+zUNRUg89Kan9zbTHYLZXEIDbi/MJMYSmuwTemTdsw4VNr8411zSLv+vaB5dC5+XzB3/8gxPh+skP2LpxwDkb0xPpUJaGLokbrEw/7HyGSrUM5CIMI+ISihLPtu/aMVS1Pv/og7NwyOtWTxwaHDWhhszG+iydLKeF9xsbzljGlTEznSWLm3xJExIzOIkEFE1LX7NyKwqAVzk6dMiULA9ZAMHKExmQbKoSagHOMS6rVkNx55Qtn5GPpUH5e54oovyz2ziCF9RMy4EpLzry2LIdnO7GV2C7Hr4uXNx7nLjT2TB/BwjVMFEQ4TMoiIxDGVJ0+mca0HOVXo3Xf+wUC+0/ZiLtsviFQhoYR+UpK8hK77Damr3OxP4dIIcmhJFhAsg3je4CshsRZ5FWw8ClkIwC2UBQ4+8owAlJAzqFkMTS1tIzuExOiDhhTyW0Wiht8tUpSQLIOyn00syyAxpgdiSA9LiCH3ZJCY8b/veE0U+LTuEaNbMnPxUZBlEBG5p4TE8re8qh2KzT/BV0KyDBJms4zQKyEiCr4YYvgomCKQN6MuMRUxMlPM0NhhAoiOOQNU/jP86ubU5fZEdEPP9De8sgbaVnW4czctVUiWQc6Y5f4obmsgsQIWQPKCppa2YTEk85fbBKQsyyCXTOp+w2UshoIvg1yCgGHDSCAxtQHEUBg3Lko2Qwk5v5sdivN3vHGEx31184dnzqQuQhL1LIOIqHO3K/QaSHEIEZFLd5g/+sgHbOrkh1OXyHJlkAsBF0CM7jttL/ZGDPGMoS6MHNNKcQvBIRTqDbVg/Ftvfsq9Ol5/CZdRAAE3COAtejeoUofifDFuh+L8DsX5HAvLNJksjDK1UeqVWJjyqDTO9CjLICJSHivK91WU78vU18t6a2dqe2lhzrk4N4gLObvEuYEsfeRynJlEeO2aW6gslfkny6AIrxpLCw4B5Ak5vxd8UwcPPWJ0SyVPqL5e9RIZcQs5e425onuEtcItpAggB++0ZyYWCgJsBFSRhbVHsoucKsRJQpFcKRZlhEBeWV1iipYwpCgh+ISM0EMbOwQQHbNDz1Bf8ZdbuIWWPnlIFBQnkF4G6Ye2IINmzkhGvvR3q+nHFzXP/ka7De3P7yZfCvv2d7Q3wirK9wVBDEEDZdq1kNZD/WTauOd+lwyv97sj6V3O1NJC/dzZyRMKiGjM+CAe19Tx+ksUMWRhmegCAsYJwCdknJWJluwWyvLHm8WQERlkYu6zTVkGna0gRQ+l9Qld1eZrL/4hdRiSUEJEFAQlxAtBAQQiTIBlkFij42JIVkJBE0N5j9YlJuM9sgh/uwO6NPiErG9M6ZS/is6lZd9URskigLglCyCWTUSUs6M479yRsz4nP3xVWjH0g1sLZTHEBqMAAiAQdgKKDCKiubP3B8czlJjcAGIo7N+xMNoPJWRl14QGemt78m35Pjd+2KN3C3HFxPw5Kc/zqLG5Pc+yDCKihfMOZBFDfO1L5aqa7GJIOIT+/E7yQnUi+nbbxvqlymJIZAiJ6Ji+JWpAAAQsE3h798nvto/OLSiWORjpqImhmXWJSfAMGaGFNs4QgBKyyJFlkOj/ygbt8tQGDfLk4ebP2W9EDMldspRZBok2OcWQMtQXqijNS/LKm/M/+vEVz/7msHALRTU0tmmDlgXVq7dbh2Ir5PGYncArLyeT0nrcGMEdeXu3dhkcERkXQ/3uyOcAmeOhMf1eBMchpLcNNSDgDQEoIW84ez3LpKlX3f3D5LnMZuf+0Y+1Yx7FP0Xfl15M+pa+/4M0jiWz4/vbXsggItq04TjEkL97QUQsg0Q5kmKIIZsSQ9zL2cKY8a30ATJnp7A52tu7T+7+T8obfmb3wPPhSLMJE90NEoASMgjK/2ZmL8Nb+9uushjqc2tza2tgGUREL714zLgY2rb172LGzl0utTa1471YBjk+MgYEgbAQCIUTaPfA89uvOrObEFUMy9cq3HZCCTm2f+MntpaThAyOO2J0SzlVKEuSkDJg9jwh0VhWP/fc10wZwdVHlkFEtG3r3y2LoT++cFTYecttTewb3Kt3I4gh+xgxgjUC8HBY44ZeZgk8vaaWu3j8v/w8b7gKeIve4n6VTvmrnCpkOWPa4vQedpN9QkRk0CckKyHtRhFLbiGWQWK5dsTQ+nXJAN8FF6TOVUd0zMPvkTrVzh0niOi6Dg05QBbt0Ji6fjxnIMCZVUTU/k9fTfwcqdMZSGWolmWQaAIxlAFVqho+oRQLU6XSsm+WTtF6KK/QZ0mRVjxGWVqassTLxgZlkJcmGZmLZRARnT5d36dv6LOdjKw6yG2EDCKinTtOQAAFeae8t+277b/+9u6Tf3nvZJurL97R6195j1+UmAgx5P0+xGtGKCHr+61oIOsDBbunNfXTucul7Bay5hAySEU+QFI5OtLgCGjmMQGWQR7Pi+nCQuDMmUSbqy8W1u7oCTEUln0LsZ1QQh5tnuIQIqIf96tKJJK3jz3zfPcsdkyf+j5/Om3G1VwOeMG+ALrltiYcIEsbGpNlEBHNnPEBxFDAvxUwzyaB17d/+r1OuJvdJkXfur/4x2SY/ge3uOWZvue+ZnKADKExI5uNPCEjlBxooyih17d+dHDvkeatU1nAmcSQLIOEHSESQw6AyzyEIoNEw0xKiANkCI1lJurdJzt3nNjx5idivgeGt/Zu4pDP9Pr2T3kFEdZDitfwug4N88rrEhNCHyNjGSQ20T0xxF8SFAwSSGWPGuyAZtYIKFlBigz64sz7ffqRZRn07p5j4veOW7boW6JGEEgrj4ioT9/G4heggkDgxInTRW0uFr+bNn4cBJOCb4Msg4JvrR0Lr+vQkLuLcmJCg7zyOq5EAQScJQAl5CzPjKOVz9x76lT9ls01WzbXZGxk+IPVKxwYxPBsAW2Y1v2TtjKgC4BZIAACGQhc16Gh+M3wOapBwEkCUEJO0sw0VvnMveKj4i5Ni7s0PXWqXo6LZeol17+7J3WDmFyPMgiAQEwIRDgcZmQHNbfQrHC7heRwmFw2sny0cZUA8oRcxasNzjJInmnCpKI7b08FuYo7XzlmfPpsCREgk5XQLbe3IKL+gwrEja1iWONHMspmRKMsImLwBjmymy88px1leVu/VAabI8PqB+GgWK+bLtd/ihoQSEsgb1Zd4qHQJwylXRoqfSQAJeQ6/ExKSM4NyiSDiIhThVgMsRKSD6cmojiLIdd3MR4TCBkk1uqgGJLPygvROctvvpFKT76+GK9rBeW/gbzZdYnxEENB2Y5o2AEl5MU+6sXQhElFpiYWeqiw+VdFr/6DChQZJOohhkxRRWOZgCyDnHULQQnJnFG2SQBKyCZAdNcTwHlCeiau15iVQUSEN+flXXnm14fF4513XSHXpy3/7tlkYyK640c52q9aXs2DDLi/kMsoWCYgyyDLg3jfUXYIeT87ZsxCIDG+AcRQFj74yAIBZEybgFY2/W9l0/9mosPZphMmFbH64cLZDy3+W+/+0ddYHDrY3VgGEZFcTmu1LIPSNpArZRlERMqj3DKSZQfDYTKfEIXDZLMRDpNpBK2siaGKcGdPBw1pzO2BT8jQF0AWQKI8ZVobQz2lRk5pIGnIWBTnVezndY4e14rLFgq/e/ZwTreQhWEj0+W2fk1eeO6o45JI3CRFROFSRdcXX/LmG59CEkXm642FgEAmAlBCmciEoD4OTiBZBhHRvIr9Vzb9iuW9gQzKic5xGSRmDJcGYkqQQYwiaIXEOM0tlBiH1Omg7Uwo7UF0LPe2yQ6h3K3RwmUCRnKD2ART0kdJDFIeeUwUQAAEPCPwxPwDT8w/kHY6TQzNdSxGNmHMe/ybdjpURpgAfEIR3tzILs1tMbRqeTVkUGS/PVhYeAiwBnpi/oEHR7V0z/AJY96TBxeP5XO/JVeiHGEC8Anl3lwLKUG5Bz23xbyK/fx77id2nyrK91WUp7nRzO64ke4PGRTp7cXiwkGAZZAwV3kUlYkxDriFFBnEdDLVcwMUIkMAPiErW+msNtKnwtjMCxZLkgVQRfm+cRPSn2FtZP2Txv9FaTZz9jVKjZHHypXadWklA7XTsQ3+jB7XSubjCBmDU6NZTgKbNhwnol69G+VsiQYg4BIBTQzNq0uMRsKQS4BjMSyUkKFtdlb6GJrS6UaWxZBeBlkwTWgg0bFyZY1ZMWRhRnRxm4CQQURkSg+tXKad2DRwMM5qcnt/bI2//Jepg7Xu/2nQNysx2roYguPH1hclKp0RHYvKTnq7DpvySBZG3hqO2XwjsHJZtZBBRMQF36zBxJkJyDKIiJRHfb/1647xr/5T1IBA8AlACQV/j2AhCESQAMRQNDZ1/bpjLi3kwVEtOUtaLqedTnMLzbfyHhnSotPyjFsllJD/O67kviiP/tvnggWmomMuzI8hHSAgpwfJZQeGDuEQixYcWLQg/cveIVxNgEzOqYHY1sQoi2KIR0AhtgSQJxSIrXdD/Yyb0FpOmraTMW2fUcnAAo6IQQbZ5xmQEewIoMikCskCaNGCA8NHuviyd0D2PWJmlM/9VtpsIbiLIrbRWZaDu+izwHH4o7mzU7dGjBlv69YIhy3LNZw+K8jau2O55qHnf3/k9v/Kz9kMDUJKQI6Iua2EqrZ80q37ZR6AkpWQmC4CYkjODcqZMc0Bsj59G3sAPPsUeQvqEiOtvEemiCHIoOycI/YplJBHGyrLIDFleMWQGzLo+d8fkXcCekimgbIpAlVbPpHbu62HIqmEZIChK1sWQ6FbKQx2igCiY06RDMQ4Px+nHvzzWIWVg3/0i3FD/ehnQQ0IgAAI2CSQGNkAYsgmw7h1R8Z0dHZcL4OIKG1ldNaMlYBAwAhEIDQWMKKmzalcVfPlNz+qXKWd44ofEDBCAD4hI5Si3Gb+nFT20qixYcpeivKuYG02CHTrfhkHyNwOjRGRkD4iRgYZZGPfnOkqBNCSm84burGeqKZkgIkT7Z2xAKOEkADyhLzbNDlVyI0koUzunywBMlkGCRA+iiFOFUKSkNkv5ZrVtdzlvv7NuIwCCMSNgOwKGrqx/t9rm8eNANZrgQB8QhagWexiXP0snJc8mGTE6Bi9kQsBZO2LJcsgIlqzuhZiyBTJFUu1myUGDQn6nRKmFoXGRFSfBwwgYIgA8oQMYfKyEcsgIpLLXtqAuUAgJgSEDCIiLsRk4XFY5tJe5+U9YeXg6TjAwRplAvAJyTT8LzsufbKExvxfrVULlv/ykOh6/0/h+rYKEf106mfF0mp4hsL+vRCJQZWrkhlCJUR5T9QlHrRywlDYUcB+4wTgEzLOKugtH6u4RtE9yqN+AUpWkPKobx+EGpZBX9wNmZREQTDMLxuUWJjy6JdVmBcEfCQgJ0onHmyQtwieIR93IwRTwycUgk0yZWJO9aOMFgr1wzbLMogrg1CYM2sfEY19qLUvxkD9+IIdk4IACESDAHxCwdrHWKVIBwu9DWuEDCKiObP2cdnGeOjqEQElFqY8emQEpnGfQGI43ELuUw7zDHiLPsy7F0vbFbeQ76lCeunjl2coll8HLBoEjBLIW1yXGIaEIaO4YtUO0bFAbPfjj+6V7Zg4uUh+RDkTAd9lUCbDUA8CIAACIBAWAlBC/u+UIoP8NyjYFkD9BHt/YB0IBJRAYlgDuIUCujd+m4U8Ib93IN380EbpqFis27ThuPi12D8Y3VYuq165TDsAED8gAAKWCWhi6Bd4j8wyv8h2hBKK7NZiYUS0acNx5iCXudJ+QckKUh7tj09ErIG44MiwGAQEYkgg8TOkCsVw23MsGdGxHIDwMQjkJOCG+uFJFfWzcln1wMG4F4LxoAACIAACdglACdklaL//xMlFSjgMGdP2qWIEEAABtwlMfugv8hSPzrpGfkQZBMJCAG/RB2inHn90LzSQ4/vBQbFevRs5PrgHAyo+ISKCT8gD7JgiJwFFBon2PoqhtU/XChvuvqdZTuMD3qByVQ1bKJ+XzZUoOEsASshZnhgNBJwnIIshyCDn+WJE8wTSyiAi8ksJsQwSSwm7GJKVEBFBDJn/hprrgeiYOV5oDQLeE4D68Z45ZgQBvwgoMsgvM2I1L94di9V2Y7EgAAIgAAKBJgAPkPfbAyXkPXPMCAIgAAIgAAKGCEAYGcJkrxHyhOzxQ28QAAEQiCWBtKlCfuUJiR1Y+3Rt2DOEYvlV8n/RUEL+7wEsAAEQAIEwEpDFkL8aKIz0YHNwCEAJBWcvYAkIgAAIgAAIgIDXBJAn5DVxzAcCIAACIAACIBAcAlBCwdkLWAICIAACIAACIOA1AZwn5DVxzBdSAtOnvi8snzbj6pAuAWaDAAiAgBECSxYf5GZDh7XgclQL8AlFdWexLicJsAwiIrns5BwYCwRAAAQCQECWQUSkPAbAQOdNgBJynilGjBgBvfTR10RsyVgOCIAACMSHAJRQfPYaKwUBEAABEAABEFAJIE9IJYLnLASWLTkkfzp4aHP5MdTlypXS5c8DC0K9FhgPAiAAApYJDB3WIg4RMZkPlJBMA2UQ0AhUrqwpMSyG5s7ez9TGjG/FZRRAAARAIKQEZDEUh4xpnKwY0i+qP2YrPiEiioZbSHYICbKKElISg/j1MVkGiY4QQ/58NTErCIAACFglgDwhq+TQLyoyiIgU3aPfW5Y+RCSX9S1RAwIgAAIgEC4CiI6Fa79grW8EIIB8Q4+JQQAEQMBNAlBCbtKN3NgiFrZsyaFoBMXk/RFuIVMZQnJ3lH0kUD5zr5h9wqQiH83A1CAAAiElgDyhkG4czA4KASVVCHlCHm8MyyAxL8SQx/wxHQhEgACUUAQ2EUvwmYAQQ9BAXm7DY2WaH2jblpquPdQjDyCGvNwIzAUCESCA6FgENhFL8JkANJDHGyBkkJj0tVfSiCGP7cF0IAACoSYAJRTq7XPF+F88kbp772cPRv/uPVcgYlDXCMgySEwCMeQabAwMArEggLfoY7HNxhcpyyAiUh6Nj4OWIOABgc7dERrzADOmAIGIE4ASivgGY3kgEG0CshhChlC09xqrAwGXCCA65hJYDAsCIOARgXUbe3o0E6YBARCIIgH4hKK4qzbWhMQgG/DQ1QsCP59yzqFByqMXFmAOEACBaBHAW/TR2k9jq3lk2vtE9PD0qzM1F+lBUEWZ+KAeBEAABEAgMgSghCKzlYYWIjSQ3DSLHpKboQwCFgiUTvmr3Ku07JvyI8ogAAIgEAQCiI4FYRf8tEGvjfy0BnNHiIAig4hIXxOh5WIpIAACYSUAJRTWnYPdIAACIAACIAAC9gng3TH7DCM1QkX5Pl7PuAmtuZyl8OSigw8M9/8Axl/+4hAb+dOfNecyCiAAAiAAAiCQhQB8QlngxO4jWQYRkfKox/HkooNPLtIOpOaCvo03NbIMIiLl0RsbMItLBMpn7lWuWXVpIgwLAiAQTwL/D+ThjtMPz6lxAAAAAElFTkSuQmCC"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "放到 Embedding Projector：http://projector.tensorflow.org/\n",
    "上进行可视化\n",
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
